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Transform Image Using Computer Technology: A Comprehensive Guide
Introduction:
Ever wished you could magically alter a photo, removing blemishes, enhancing colors, or even transforming a portrait into a painting? The ability to manipulate images is no longer relegated to the realm of fantasy. Computer technology has revolutionized image transformation, offering a plethora of powerful tools accessible to everyone from casual users to professional graphic designers. This comprehensive guide delves into the fascinating world of image transformation, exploring the various techniques, technologies, and software involved in reshaping visual data. We'll cover everything from basic adjustments to advanced AI-powered transformations, providing a roadmap for anyone wanting to master this exciting field.
H2: Understanding the Fundamentals of Image Transformation
Before we dive into the specifics, it’s crucial to grasp the underlying principles. Digital images are essentially grids of pixels, each representing a color value. Image transformation involves manipulating these pixels in various ways. This can be as simple as adjusting brightness and contrast or as complex as generating entirely new images from existing ones. The methods employed depend on the desired outcome and the level of sophistication required.
H3: Basic Image Manipulation Techniques
Basic techniques often involve adjusting fundamental image properties:
Brightness and Contrast: These are fundamental adjustments that alter the overall lightness and tonal range of an image. Increasing brightness makes an image lighter, while boosting contrast increases the difference between the light and dark areas.
Color Correction: This involves adjusting the individual color channels (red, green, blue) to balance colors and correct color casts. White balance is a crucial aspect of color correction, ensuring accurate representation of colors under different lighting conditions.
Cropping and Resizing: These are fundamental editing techniques used to remove unwanted portions of an image and to change its dimensions, respectively. Cropping focuses the viewer's attention on a specific area, while resizing adapts the image to different display formats.
Sharpening and Blurring: Sharpening enhances fine details and edges, while blurring softens them, often used for artistic effect or to reduce noise.
H3: Advanced Image Transformation Techniques
Moving beyond basic adjustments, more advanced techniques unlock a wide range of creative possibilities:
Image Filtering: Filters apply mathematical operations to the pixels, creating various effects such as edge detection, noise reduction, and artistic stylization. Convolution is a common mathematical process underlying many filters.
Image Segmentation: This involves partitioning an image into meaningful regions based on color, texture, or other characteristics. This is crucial for tasks like object recognition and image editing.
Image Restoration: This focuses on repairing damaged or degraded images, removing scratches, blemishes, and noise. Sophisticated algorithms can analyze an image and intelligently fill in missing or corrupted pixels.
AI-Powered Transformations: Deep learning and artificial intelligence are transforming image manipulation. AI models can perform tasks like style transfer (applying the style of one image to another), image inpainting (filling in missing parts of an image), and super-resolution (enhancing the resolution of a low-resolution image).
H2: Software and Tools for Image Transformation
A wide array of software caters to various needs and skill levels:
Adobe Photoshop: The industry standard, Photoshop offers unparalleled control and versatility for image manipulation. Its vast toolset encompasses every technique mentioned above and more.
GIMP (GNU Image Manipulation Program): A free and open-source alternative to Photoshop, GIMP provides a powerful set of features for image editing and transformation.
Online Image Editors: Numerous online tools offer quick and easy image manipulation without the need for software installation. These often focus on basic adjustments and filters.
Specialized Software: Certain software packages are tailored for specific image transformation tasks, such as medical image analysis or satellite imagery processing.
H2: The Future of Image Transformation
The field of image transformation is constantly evolving. Advancements in AI, particularly generative adversarial networks (GANs), are leading to increasingly realistic and creative image manipulation capabilities. Expect to see even more sophisticated techniques emerge, blurring the lines between reality and digital artistry.
Conclusion:
Transforming images using computer technology is a powerful and dynamic field with applications spanning creative arts, scientific research, and everyday life. By understanding the fundamental principles and utilizing the available software, individuals can unlock a world of creative possibilities and harness the power of visual data manipulation. From simple adjustments to complex AI-driven transformations, the potential is truly limitless.
FAQs:
1. What are the ethical considerations of image transformation? Ethical concerns arise when manipulated images are used to deceive or mislead. It's crucial to use image transformation responsibly and transparently.
2. Can I learn image transformation without prior experience? Absolutely! Many online tutorials and courses cater to beginners, providing step-by-step guidance.
3. What hardware specifications are needed for advanced image transformation? Advanced image manipulation, especially with AI-powered tools, requires a powerful computer with a dedicated graphics processing unit (GPU).
4. What are the career opportunities in image transformation? Careers range from graphic design and photography to scientific image analysis and AI development.
5. How can I stay updated on the latest advancements in image transformation technology? Following industry blogs, attending conferences, and participating in online communities are excellent ways to stay informed.
| transform image using computer technology: Systems and Computer Technology Yunfei Chen, Xiaodong Liu, Lipo Wang, Chunlei Ji, Qiang Sun, Yuan Ren, Xin Wang, 2015-09-17 This volume consists of papers presented at the 2014 International Symposium on Systems and Computer Technology (ISSCT 2014, Shanghai, China, 15-17 November 2014). The demand for systems and informatics have been constantly increasing, as more and more computer applications have been built. Great efforts have been made to improve the state of the a |
| transform image using computer technology: Image Technology Jorge L.C. Sanz, 2012-12-06 Image processing and machine vision are fields of renewed interest in the commercial market. People in industry, managers, and technical engineers are looking for new technologies to move into the market. Many of the most promising developments are taking place in the field of image processing and its applications. The book offers a broad coverage of advances in a range of topics in image processing and machine vision. |
| transform image using computer technology: Intelligent Systems and Computer Technology D.J. Hemanth, V.D.A. Kumar, S. Malathi, 2020-12-15 Recent developments in soft-computation techniques have paved the way for handling huge volumes of data, thereby bringing about significant changes and technological advancements. This book presents the proceedings of the 3rd International Conference on Emerging Current Trends in Computing & Expert Technology (COMET 2020), held at Panimalar Engineering College, Chennai, India on 6 and 7 March 2020. The aim of the book is to disseminate cutting-edge developments taking place in the technological fields of intelligent systems and computer technology, thereby assisting researchers and practitioners from both institutions and industry to upgrade their knowledge of the latest developments and emerging areas of study. It focuses on technological innovations and trendsetting initiatives to improve business values, optimize business processes and enable inclusive growth for corporates, industries and education alike. The book is divided into two sections; ‘Next Generation Soft Computing’ is a platform for scientists, researchers, practitioners and academics to present and discuss their most recent innovations, trends and concerns, as well as the practical challenges encountered in the field. The second section, ‘Evolutionary Networking and Communications’ focuses on various aspects of 5G communications systems and networking, including cloud and virtualization solutions, management technologies, and vertical application areas. It brings together the latest technologies from all over the world, and also provides an excellent international forum for the sharing of knowledge and results from theory, methodology and applications in networking and communications. The book will be of interest to all those working in the fields of intelligent systems and computer technology. |
| transform image using computer technology: Advances in Electrical and Computer Technologies Thangaprakash Sengodan, M. Murugappan, Sanjay Misra, 2020-09-07 The book comprises select proceedings of the first International Conference on Advances in Electrical and Computer Technologies 2019 (ICAECT 2019). The papers presented in this book are peer reviewed and cover wide range of topics in Electrical and Computer Engineering fields. This book contains the papers presenting the latest developments in the areas of Electrical, Electronics, Communication systems and Computer Science such as smart grids, soft computing techniques in power systems, smart energy management systems, power electronics, feedback control systems, biomedical engineering, geo informative systems, grid computing, data mining, image and signal processing, video processing, computer vision, pattern recognition, cloud computing, pervasive computing, intelligent systems, artificial intelligence, neural network and fuzzy logic, broad band communication, mobile and optical communication, network security, VLSI, embedded systems, optical networks and wireless communication. This book will be of great use to the researchers and students in the areas of Electrical and Electronics Engineering, Communication systems and Computer Science. |
| transform image using computer technology: Nature-Inspired Structured Functional Surfaces Zhiwu Han, 2022-07-25 Gives a comprehensive description on the biological model, basic physical models, fabrication/characterization of bioinspired materials and their functions. |
| transform image using computer technology: Intelligent Technologies and Applications Imran Sarwar Bajwa, Fairouz Kamareddine, Anna Costa, 2019-03-11 This book constitutes the refereed proceedings of the First International Conference on Intelligent Technologies and Applications, INTAP 2018, held in Bahawalpur, Pakistan, in October 2018. The 68 revised full papers and 6 revised short papers presented were carefully reviewed and selected from 251 submissions. The papers of this volume are organized in topical sections on AI and health; sentiment analysis; intelligent applications; social media analytics; business intelligence;Natural Language Processing; information extraction; machine learning; smart systems; semantic web; decision support systems; image analysis; automated software engineering. |
| transform image using computer technology: Computer Technology for Textiles and Apparel Jinlian Hu, 2011-07-14 Computer technology has transformed textiles from their design through to their manufacture and has contributed to significant advances in the textile industry. Computer technology for textiles and apparel provides an overview of these innovative developments for a wide range of applications, covering topics including structure and defect analysis, modelling and simulation, and apparel design.The book is divided into three parts. Part one provides a review of different computer-based technologies suitable for textile materials, and includes chapters on computer technology for yarn and fabric structure analysis, defect analysis and measurement. Chapters in part two discuss modelling and simulation principles of fibres, yarns, textiles and garments, while part three concludes with a review of computer-based technologies specific to apparel and apparel design, with themes ranging from 3D body scanning to the teaching of computer-aided design to fashion students.With its distinguished editor and international team of expert contributors, Computer technology for textiles and apparel is an invaluable tool for a wide range of people involved in the textile industry, from designers and manufacturers to fibre scientists and quality inspectors. - Provides an overview of innovative developments in computer technology for a wide range of applications - Covers structure and defect analysis, modelling and simulation and apparel design - Themes range from 3D body scanning to the teaching of computer-aided design to fashion students |
| transform image using computer technology: Advances in Information Technology in Civil and Building Engineering Sebastian Skatulla, Hans Beushausen, 2023-10-31 This book gathers the latest advances, innovations, and applications in the field of information technology in civil and building engineering, presented at the 19th International Conference on Computing in Civil and Building Engineering (ICCCBE), held in Cape Town, South Africa on October 26-28, 2022. It covers highly diverse topics such as BIM, construction information modeling, knowledge management, GIS, GPS, laser scanning, sensors, monitoring, VR/AR, computer-aided construction, product and process modeling, big data and IoT, cooperative design, mobile computing, simulation, structural health monitoring, computer-aided structural control and analysis, ICT in geotechnical engineering, computational mechanics, asset management, maintenance, urban planning, facility management, and smart cities. Written by leading researchers and engineers, and selected by means of a rigorous international peer-review process, the contributions highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaborations. |
| transform image using computer technology: MEDINFO 2019: Health and Wellbeing e-Networks for All L. Ohno-Machado, B. Séroussi, 2019-11-12 Combining and integrating cross-institutional data remains a challenge for both researchers and those involved in patient care. Patient-generated data can contribute precious information to healthcare professionals by enabling monitoring under normal life conditions and also helping patients play a more active role in their own care. This book presents the proceedings of MEDINFO 2019, the 17th World Congress on Medical and Health Informatics, held in Lyon, France, from 25 to 30 August 2019. The theme of this year’s conference was ‘Health and Wellbeing: E-Networks for All’, stressing the increasing importance of networks in healthcare on the one hand, and the patient-centered perspective on the other. Over 1100 manuscripts were submitted to the conference and, after a thorough review process by at least three reviewers and assessment by a scientific program committee member, 285 papers and 296 posters were accepted, together with 47 podium abstracts, 7 demonstrations, 45 panels, 21 workshops and 9 tutorials. All accepted paper and poster contributions are included in these proceedings. The papers are grouped under four thematic tracks: interpreting health and biomedical data, supporting care delivery, enabling precision medicine and public health, and the human element in medical informatics. The posters are divided into the same four groups. The book presents an overview of state-of-the-art informatics projects from multiple regions of the world; it will be of interest to anyone working in the field of medical informatics. |
| transform image using computer technology: Growing Information: Part 2 Eli B. Cohen, 2009 |
| transform image using computer technology: Cyberspace Odyssey Jos de Mul, 2010-04-16 The emergence of the hominids, more than five million years ago, marked the start of the human odyssey through space and time. This book deals with the last stage of this fascinating journey: the exploration of cyberspace and cybertime. Through the rapid global implementation of information and communication technologies, a new realm for human experience and imagination has been disclosed. Reversely, these postgeographical and posthistorical technologies have started to colonize our bodies and minds. Taking Homer’s Odyssey and Kubrick’s 2001: A Space Odyssey as his starting point, the author investigates the ‘informatization of the worldview’, focusing on its implications for our culture–arts, religion, and science–and, ultimately, our form of life. Moving across a wide range of disciplines, varying from philosophical anthropology and palaeontology to information theory, and from astrophysics to literary, film and new media studies, the author discusses our ‘cyberspace odyssey’ from a reflective position beyond euphoria and nostalgia. His analysis is as profound as nuanced and deals with issues that will be high on the agenda for many decades to come. In 2003 a Dutch Edition of Cyberspace Odyssey received the Socrates Prize for the best philosophy book published in Dutch. |
| transform image using computer technology: Soft Computing Systems Ivan Zelinka, Roman Senkerik, Ganapati Panda, Padma Suresh Lekshmi Kanthan, 2018-09-24 This book (CCIS 837) constitutes the refereed proceedings of the Second International Conference on Soft Computing Systems, ICSCS 2018, held in Sasthamcotta, India, in April 2018. The 87 full papers were carefully reviewed and selected from 439 submissions. The papers are organized in topical sections on soft computing, evolutionary algorithms, image processing, deep learning, artificial intelligence, big data analytics, data minimg, machine learning, VLSI, cloud computing, network communication, power electronics, green energy. |
| transform image using computer technology: Image Processing, Analysis and Machine Vision Milan Sonka, Vaclav Hlavac, Roger Boyle, 2013-11-11 Image Processing, Analysis and Machine Vision represent an exciting part of modern cognitive and computer science. Following an explosion of inter est during the Seventies, the Eighties were characterized by the maturing of the field and the significant growth of active applications; Remote Sensing, Technical Diagnostics, Autonomous Vehicle Guidance and Medical Imaging are the most rapidly developing areas. This progress can be seen in an in creasing number of software and hardware products on the market as well as in a number of digital image processing and machine vision courses offered at universities world-wide. There are many texts available in the areas we cover - most (indeed, all of which we know) are referenced somewhere in this book. The subject suffers, however, from a shortage of texts at the 'elementary' level - that appropriate for undergraduates beginning or completing their studies of the topic, or for Master's students - and the very rapid developments that have taken and are still taking place, which quickly age some of the very good text books produced over the last decade or so. This book reflects the authors' experience in teaching one and two semester undergraduate and graduate courses in Digital Image Processing, Digital Image Analysis, Machine Vision, Pattern Recognition and Intelligent Robotics at their respective institutions. |
| transform image using computer technology: International Trends in Optics and Photonics Toshimitsu Asakura, 2013-06-05 This book gives a broad and authoritative overview of research currently underway in the fields of optical science and engineering throughout the world. The contributions, which are written by internationally renowned scientists, are of particular interest to specialists and nonspecialists in the many disciplines covered. They are less formal than the standard technical reviews found in academic journals and this is what makes the book accessible to readers who are not specialists in optical science and engineering. |
| transform image using computer technology: 2012 International Conference on Information Technology and Management Science(ICITMS 2012) Proceedings Bing Xu, 2013-02-15 The main objective of the ICITMS 2012 is to provide a platform for researchers, engineers, academics and industrial professionals from all over the world to present their research results and development activities in Information Technology and Management Science. This conference provides opportunities for the delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration. |
| transform image using computer technology: Applied Computer Vision and Soft Computing with Interpretable AI Swati V. Shinde, Darshan V. Medhane, Oscar Castillo, 2023-10-05 This reference text presents the knowledge base of computer vision and soft computing techniques with their applications for sustainable developments. Features: Covers a variety of deep learning architectures useful for computer vision tasks Demonstrates the use of different soft computing techniques and their applications for different computer vision tasks Highlights the unified strengths of hybrid techniques based on deep learning and soft computing taken together that give the interpretable, adaptive, and optimized solution to a given problem Addresses the different issues and further research opportunities in computer vision and soft computing Describes all the concepts with practical examples and case studies with appropriate performance measures that validate the applicability of the respective technique to a certain domain Considers recent real word problems and the prospective solutions to these problems This book will be useful to researchers, students, faculty, and industry personnel who are eager to explore the power of deep learning and soft computing for different computer vision tasks. |
| transform image using computer technology: Proceedings of International Conference on Soft Computing Techniques and Engineering Application Srikanta Patnaik, Xiaolong Li, 2013-12-20 The main objective of ICSCTEA 2013 is to provide a platform for researchers, engineers and academicians from all over the world to present their research results and development activities in soft computing techniques and engineering application. This conference provides opportunities for them to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration. |
| transform image using computer technology: The Essentials of Machine Learning in Finance and Accounting Mohammad Zoynul Abedin, M. Kabir Hassan, Petr Hajek, Mohammed Mohi Uddin, 2021-06-20 • A useful guide to financial product modeling and to minimizing business risk and uncertainty • Looks at wide range of financial assets and markets and correlates them with enterprises’ profitability • Introduces advanced and novel machine learning techniques in finance such as Support Vector Machine, Neural Networks, Random Forest, K-Nearest Neighbors, Extreme Learning Machine, Deep Learning Approaches and applies them to analyze finance data sets • Real world applicable examples to further understanding |
| transform image using computer technology: International Advanced Researches & Engineering Congress 2017 Proceeding Book Recep HALICIOGLU, Hediye KIRLI AKIN, Yusuf FEDAI, 2017-12-29 INTERNATIONAL WORKSHOPS (at IAREC'17) (This book inclueds English (main) and Turkish languages) International Workshop on Mechanical Engineering International Workshop on Mechatronics Engineering International Workshop on Energy Systems Engineering International Workshop on Automotive Engineering and Aerospace Engineering International Workshop on Material Engineering International Workshop on Manufacturing Engineering International Workshop on Physics Engineering International Workshop on Electrical and Electronics Engineering International Workshop on Computer Engineering and Software Engineering International Workshop on Chemical Engineering International Workshop on Textile Engineering International Workshop on Architecture International Workshop on Civil Engineering International Workshop on Geomatics Engineering International Workshop on Industrial Engineering International Workshop on Food Engineering International Workshop on Aquaculture Engineering International Workshop on Agriculture Engineering International Workshop on Mathematics Engineering International Workshop on Bioengineering Engineering International Workshop on Biomedical Engineering International Workshop on Genetic Engineering International Workshop on Environmental Engineering International Workshop on Other Engineering Science |
| transform image using computer technology: Computer Technology and Computer Programming James L. Antonakos, 2016-04-19 This title includes a number of Open Access chapters.Covering a broad range of new topics in computer technology and programming, this volume discusses encryption techniques, SQL generation, Web 2.0 technologies, and visual sensor networks. It also examines reconfigurable computing, video streaming, animation techniques, and more. Readers will lear |
| transform image using computer technology: Fourier Transforms Goran Nikolic, 2011-04-11 This book aims to provide information about Fourier transform to those needing to use infrared spectroscopy, by explaining the fundamental aspects of the Fourier transform, and techniques for analyzing infrared data obtained for a wide number of materials. It summarizes the theory, instrumentation, methodology, techniques and application of FTIR spectroscopy, and improves the performance and quality of FTIR spectrophotometers. |
| transform image using computer technology: Computer Technology and Applications Yŏng-ho Pak, John Martin, Isoharu Nishiguchi, 2004 |
| transform image using computer technology: Advances in Precision Instruments and Optical Engineering Guixiong Liu, Fengjie Cen, 2022-04-21 This book highlights the new technologies and applications presented at the 2021 International Conference on Precision Instruments and Optical Engineering held in Chengdu, China from 25 to 27 August 2021. The conference aimed to provide a platform for researchers and professionals to share research findings, discuss cutting-edge technologies, promote collaborations and fuel the industrial transition of new technologies. The invited and contributed papers covered recent developments in optoelectronic devices, nanophotonic research, optoelectronic materials, precision instruments, intelligent instruments, laser technology, optical spectroscopy and other optical engineering topics. The book is intended for researchers, engineers and advanced students interested in precision instruments and optical engineering and their applications in diverse fields. |
| transform image using computer technology: Image and Signal Processing Alamin Mansouri, Abderrahim El Moataz, Fathallah Nouboud, Driss Mammass, 2018-06-29 This book constitutes the refereed proceedings of the 8th International Conference on Image and Signal Processing, ICISP 2018, held in Cherbourg, France, in July 2018. The 58 revised full papers were carefully reviewed and selected from 122 submissions. The contributions report on the latest developments in image and signal processing, video processing, computer vision, multimedia and computer graphics, and mathematical imaging and vision. |
| transform image using computer technology: Application of Radiomics in Understanding Tumor Biological Behaviors and Treatment Response Sweet Ping Ng, 2023-09-19 |
| transform image using computer technology: Cyber Security Intelligence and Analytics Zheng Xu, Reza M. Parizi, Octavio Loyola-González, Xiaolu Zhang, 2021-03-10 This book presents the outcomes of the 2021 International Conference on Cyber Security Intelligence and Analytics (CSIA 2021), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber security, particularly focusing on threat intelligence, analytics, and countering cybercrime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings and novel techniques, methods and applications on all aspects of cyber security intelligence and analytics. Due to COVID-19, Authors, Keynote Speakers and PC committees will attend the conference online. |
| transform image using computer technology: Computed Tomography - E-Book Euclid Seeram, 2015-09-02 Build the foundation necessary for the practice of CT scanning with Computed Tomography: Physical Principles, Clinical Applications, and Quality Control, 4th Edition. Written to meet the varied requirements of radiography students and practitioners, this two-color text provides comprehensive coverage of the physical principles of CT and its clinical applications. Its clear, straightforward approach is designed to improve your understanding of sectional anatomic images as they relate to CT — and facilitate communication between CT technologists and other medical personnel. - Comprehensively covers CT at just the right depth for technologists – going beyond superficial treatment to accommodate all the major advances in CT. One complete CT resource covers what you need to know! - The latest information on advances in CT imaging, including: advances in volume CT scanning; CT fluoroscopy; multi-slice applications like 3-D imaging, CT angiography, and virtual reality imaging (endoscopy) – all with excellent coverage of state-of-the-art principles, instrumentation, clinical applications, and quality control. - More than 600 photos and line drawings help students understand and visualize concepts. - Chapter outlines show you what is most important in every chapter. - Strong ancillary package on Evolve facilitates instructor preparation and provides a full complement of support for teaching and learning with the text - NEW! Highlights recent technical developments in CT, such as: the iterative reconstruction; detector updates; x-ray tube innovations; radiation dose optimization; hardware and software developments; and the introduction of a new scanner from Toshiba. - NEW! Learning Objectives and Key Terms at the beginning of every chapter and a Glossary at the end of the book help you organize and focus on key information. - NEW! End-of-Chapter Questions provide opportunity for review and greater challenge. - NEW! An added second color aids in helping you read and retain pertinent information |
| transform image using computer technology: Advanced Intelligent Computing Theories and Applications De-Shuang Huang, Donald C. Wunsch, Daniel S. Levine, Kang-Hyun Jo, 2008-09-08 The International Conference on Intelligent Computing (ICIC) was formed to p- vide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring together researchers and practitioners from both academia and ind- try to share ideas, problems and solutions related to the multifaceted aspects of intelligent computing. ICIC 2008, held in Shanghai, China, September 15–18, 2008, constituted the 4th International Conference on Intelligent Computing. It built upon the success of ICIC 2007, ICIC 2006 and ICIC 2005 held in Qingdao, Kunming and Hefei, China, 2007, 2006 and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Emerging Intelligent Computing Technology and Applications”. Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology. |
| transform image using computer technology: Image Analysis and Recognition Aurelio Campilho, Mohamed Kamel, 2012-06-21 The two-volume set LNCS 7324/7325 constitutes the refereed proceedings of the 9th International Conference on Image and Recognition, ICIAR 2012, held in Aveiro, Portugal, in June 2012. The 107 revised full papers presented were carefully reviewed and selected from 207 submissions. The papers are organized in topical sections on clustering and classification; image processing; image analysis; motion analysis and tracking; shape representation; 3D imaging; applications; biometrics and face recognition; human activity recognition; biomedical image analysis; retinal image analysis; and call detection and modeling. |
| transform image using computer technology: Care of Head and Neck Cancer Patients for Dental Hygienists and Dental Therapists Jocelyn J. Harding, 2023-02-13 Care of Head and Neck Cancer Patients for Dental Hygienists and Dental Therapists is an advisory guide that enables dental hygienists, dental therapists, and other health care professionals to appreciate the journey undertaken by head and neck cancer patients. Focusing on the before, during, and after treatments, the book covers common head and neck cancer treatments such as surgery, radiotherapy, chemotherapy and innovative new therapies. It also discusses treatment complications such as halitosis, osteoradionecrosis, and radiation dermatitis. Some of the other sample topics discussed by the well-qualified authors include: An introduction to substance misuse and oral health and the early detection of mouth cancer The role of a dietitian in the care of head and neck cancer patients Proton beam therapy and transoral robotic surgery Physiotherapy for someone diagnosed with a head/neck cancer Lifestyle factors in oral cancer and pain management in head and neck cancer patients Care of Head and Neck Cancer Patients for Dental Hygienists and Dental Therapists is an immensely valuable resource for dental hygienists, dental therapists, and other health care professionals who work in primary and secondary care. |
| transform image using computer technology: Computer and Cyber Security Brij B. Gupta, 2018-11-19 This is a monumental reference for the theory and practice of computer security. Comprehensive in scope, this text covers applied and practical elements, theory, and the reasons for the design of applications and security techniques. It covers both the management and the engineering issues of computer security. It provides excellent examples of ideas and mechanisms that demonstrate how disparate techniques and principles are combined in widely-used systems. This book is acclaimed for its scope, clear and lucid writing, and its combination of formal and theoretical aspects with real systems, technologies, techniques, and policies. |
| transform image using computer technology: New Trends in Computer Technologies and Applications Sun-Yuan Hsieh, Ling-Ju Hung, Ralf Klasing, Chia-Wei Lee, Sheng-Lung Peng, 2023-02-09 This book constitutes the refereed proceedings of the 25th International Computer Symposium on New Trends in Computer Technologies and Applications, ICS 2022, which took place in Taoyuan, Taiwan, in December 2022. ICS is one of the largest joint international IT symposia held in Taiwan. Founded in 1973, it is intended to provide a forum for researchers, educators, and professionals to exchange their discoveries and practices, and to explore future trends and applications in computer technologies. The biannual symposium offers a great opportunity to share research experiences and to discuss potential new trends in the IT industry. The 58 full papers and one invited paper presented in this volume were carefully reviewed and selected from 137 submissions. The papers have been organized in the following topical sections: Invited Paper; Algorithms, Bioinformatics, and Computation Theory; Cloud Computing and Big Data; Computer Vision and Image Processing; Cryptography and Information Security; Electronics and Information Technology; Mobile Computation and Wireless Communication; Ubiquitous Cybersecurity and Forensics. |
| transform image using computer technology: International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019 Jemal H. Abawajy, Kim-Kwang Raymond Choo, Rafiqul Islam, Zheng Xu, Mohammed Atiquzzaman, 2019-07-31 This book presents innovative ideas, cutting-edge findings, and novel techniques, methods, and applications in a broad range of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to be able to secure our cyberfuture. The approaches and findings described in this book are of interest to businesses and governments seeking to secure our data and underpin infrastructures, as well as to individual users. |
| transform image using computer technology: Representation of Places Peter Bosselmann, 1998-03-21 People live in cities and experience them firsthand, while urban designers explain cities conceptually. In Representation of Places Peter Bosselmann takes on the challenging question of how designers can communicate the changes they envision in order that the rest of us adequately understand how those changes will affect our lives. New modes of imaging technology—from two-dimensional maps, charts, and diagrams to computer models—allow professionals to explain their designs more clearly than ever before. Although architects and planners know how to read these representations, few outside the profession can interpret them, let alone understand what it would be like to walk along the streets such representations describe. Yet decisions on what gets built are significantly influenced by these very representations. A portion of Bosselmann's book is based on innovative experiments conducted at the University of California, Berkeley's Visual Simulation Laboratory. In a section titled The City in the Laboratory, he discusses how visual simulation was applied to projects in New York City, San Francisco, and Toronto. The concerns that Bosselmann addresses have an impact on large segments of society, and lay readers as well as professionals will find much that is useful in his timely, accessibly written book. |
| transform image using computer technology: Advances in Imaging and Electron Physics , 1999-09-15 Advances in Imaging & Electron Physics merges two long-running serials--Advances in Electronics & Electron Physics and Advances in Optical & Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science and digital image processing, electromagnetic wave propagation, electron microscopy, and the computing methods used in all these domains. |
| transform image using computer technology: Informatics and Communication Technologies for Societal Development Elijah Blessing Rajsingh, Anand Bhojan, J. Dinesh Peter, 2014-09-08 This volume comprises research papers presented at the International Conference on Informatics and Communication Technologies for Societal Development (ICICTS 2014) held at Karunya University, India. The content focuses on the recent advancements in image or signal processing, computer vision, communication technologies, soft computing, advanced computing, data mining and knowledge discovery. The primary objective of this volume is to facilitate advancement and application of the knowledge and to promote ideas that solve problems faced by society through cutting-edge technologies. The chapters contain selected articles from academicians, researchers and industry experts in the form of frameworks, models and architectures. Practical approaches, observations and results of research that promotes societal development are also incorporated. This volume will serve as a useful compendium for interested readers and researchers working towards societal development from the technological perspective. |
| transform image using computer technology: Progress in Pattern Recognition, Image Analysis and Applications José Ruiz-Shulcloper, Walter Kropatsch, 2008-09-17 This book constitutes the refereed proceedings of the 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, held in Havana, Cuba, in September 2008. The 93 revised full papers presented together with 3 keynote articles were carefully reviewed and selected from 182 submissions. The papers are organized in topical sections on signal analysis for characterization and filtering, analysis of shape and texture, analysis of speech and language, data mining, clustering of images and documents, statistical pattern recognition, classification and description of objects, classification and edition, geometric image analysis, neural networks, computer vision, image coding, associative memories and neural networks, interpolation and video tracking, images analysis, music and speech analysis, as well as classifier combination and document filtering. |
| transform image using computer technology: U-Healthcare Monitoring Systems Nilanjan Dey, Amira S. Ashour, Simon James Fong, Surekha Borra, 2018-09-17 U-Healthcare Monitoring Systems: Volume One: Design and Applications focuses on designing efficient U-healthcare systems which require the integration and development of information technology service/facilities, wireless sensors technology, wireless communication tools, and localization techniques, along with health management monitoring, including increased commercialized service or trial services. These u-healthcare systems allow users to check and remotely manage the health conditions of their parents. Furthermore, context-aware service in u-healthcare systems includes a computer which provides an intelligent service based on the user's different conditions by outlining appropriate information relevant to the user's situation. This volume will help engineers design sensors, wireless systems and wireless communication embedded systems to provide an integrated u-healthcare monitoring system. This volume provides readers with a solid basis in the design and applications of u-healthcare monitoring systems. - Provides a solid basis in the design and applications of the u-healthcare monitoring systems - Illustrates the concept of the u-healthcare monitoring system and its requirements, with a specific focus on the medical sensors and wireless sensors communication - Presents a multidisciplinary volume that includes different applications of the monitoring system which highlight the main features for biomedical sensor devices |
| transform image using computer technology: Image and Signal Processing Abderrahim Elmoataz, Driss Mammass, Olivier Lezoray, Fathallah Nouboud, Driss Aboutajdine, 2012-07-04 This book constitutes the refereed proceedings of the 5th International Conference on Image and Signal Processing, ICISP 2012, held in Agadir, Morocco, in June 2012. The 75 revised full papers presented were carefully reviewed and selected from 158 submissions. The contributions are grouped into the following topical sections: multi/hyperspectral imaging; image itering and coding; signal processing; biometric; watermarking and texture; segmentation and retieval; image processing; pattern recognition. |
| transform image using computer technology: InfoWorld , 1982-11-01 InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects. |
Transform Image Using Computer Technology (book)
Transform Image Using Computer Technology: A Comprehensive Guide. Introduction: Ever wished you could magically alter a photo, removing blemishes, enhancing colors, or even …
Transform An Image Using Computer Full PDF - netsec.csuci.edu
Have you ever wished you could magically alter a photo, making it brighter, sharper, or completely different? The good news is, you don't need magic; you just need a computer and the right …
Lecture 11: Image Transformations - Department of Computer …
image plane. X is a projection of a point P on the image plane image point in pixel coordinates. image point in homogeneous coordinates. What does scaling X correspond to?
UNIT II IMAGE TRANSFORMS - Sathyabama Institute of …
fast computation of it by using a straightforward modification of the FFT. An extended version of the Hadamard transform is the Ordered Hadamard Transform for which a fast algorithm called …
UNIT-I DIGITAL IMAGE FUNDAMENTALS & IMAGE …
Image enhancement is among the simplest and most appealing areas of digital image processing. Basically, the idea behind enhancement techniques is to bring out detail that is obscured, or …
Transform Image Using Computer Technology (Download Only)
Transform Image Using Computer Technology Whispering the Techniques of Language: An Mental Journey through Transform Image Using Computer Technology In a digitally-driven …
Digital Image Processing Lectures 21 & 22 - CSU Walter Scott, …
Transform Domain Operations. Idea is to map an image, using a unitary transform, to the feature domain where the desired features are more localized. The ltering is then carried out in the …
Lecture 2: Geometric Image Transformations - Chester F.
Sep 8, 2005 · A spatial transformation of an image is a geometric transformation of the image coordinate system. It is often necessary to perform a spatial transformation to: Align images …
CS148: Introduction to Computer Graphics and Imaging …
Today’s Outline. Purpose of transformations Types of transformations: rotations, translates, ... Composing multiple transformations Representing transformations as matrices Hierarchical …
Image Transformation and Compression using Fourier
In this paper we have implementation and simulation design for the images transformation by applying Fourier transform and subdividing the images block size of 4×4. We increased the …
Lecture 12: Image Processing and 2D Transforms - Chester F.
Oct 18, 2005 · Abstract. The Fourier transform provides information about the global frequency-domain characteristics of an image. The Fourier description can be computed using discrete …
Digital Image Processing Lectures 11 & 12 - CSU Walter Scott, …
2-D Discrete Fourier Transform Uni ed Matrix RepresentationOther Image Transforms Discrete Cosine Transform (DCT) Digital Image Processing Lectures 11 & 12 M.R. Azimi, Professor …
Wavelet Tranformations & Its Major Applications In Digital …
Image compression is one of the most important and successful applications of the wavelet transform. The rapid increase in the range and use of electronic imaging justifies attention for …
StyTr2: Image Style Transfer With Transformers - CVF Open …
The goal of image style transfer is to render an image with artistic features guided by a style reference while maintaining the original content. Owing to the locality in convolutional neural …
Wavelet Transforms And Image Approximation Based Image …
Abstract - The purpose of this work is to design an efficient image compression system using wavelet transforms and image approximation by modifying the wavelet coefficient. The …
Jpeg Image Compression Using Discrete Cosine Transform - A …
The image compression aims at reducing redundancy in image data to store or transmit only a minimal number of samples And from this we can reconstruct a good accession of the original …
Learned Image Compression with Mixed Transformer-CNN …
Abstract. Learned image compression (LIC) methods have exhib-ited promising progress and superior rate-distortion per-formance compared with classical image compression stan-dards. …
Image Interpolation Techniques in Digital Image
This paper presents an overview of different interpolation techniques, (nearest neighbor, Bilinear, Bicubic, B-spline, Lanczos, Discrete wavelet transform (DWT) and Kriging). Our results show ...
Discrete Curvelet Transform Algorithm for Image …
A novel image compression technique using features of curvelet transforms is proposed to advance the efficiency and compression performance of the medical imaging.
for Image Processing Applications - IntechOpen
Formally, the wavelet transform is defined by many authors as a mathematical technique in which a particular signal is an alysed (or synthesised) in the time domain by using different versions …
Color Image Compression Using DCT & DWT - IJSDR
1Department Of Computer Science and Engineering, 2Department Of Information Technology H.V.P.M College Of Engineering & Technology. Amravati, India. Abstract—This paper aims to study image compression, Both methods use cosine transform and wavelet transform to
Image fusion using the discrete wavelet transform method
Spatial domain deals with direct manipulation of pixels of an image whereas the frequency domain filters the image by modifying the Fourier Transform of an image. In this paper, main focus is laid on enhancing an image using frequency domain technique. The objective to show how a digital image is being processed generates a better -quality image.
A robust image watermarking scheme using Arnold …
A robust image watermarking scheme using Arnold transform and BP neural network Lin Sun1,2 • Jiucheng Xu1,2 • Shangwang Liu1,2 • Shiguang Zhang1,2 • Yuan Li1,2 • Chang’an Shen1 Received: 4 July 2015/Accepted: 17 December 2016/Published online: 5 January 2017 The Natural Computing Applications Forum 2017
A review on sparse Fast Fourier Transform applications in …
International Journal of Electrical and Computer Engineering (IJECE) Vol. 10, No. 2, April 2020, pp. 1346~1351 ISSN: 2088-8708, DOI: 10.11591/ijece.v10i2.pp1346-1351 1346
Medical Image Compression Using Curvelet Transform
After the curvelet transform is applied to an image, the adaptive image coding works by partitioning the decomposed image into significant and insignificant partitions [25] based on the following function: °¯ ° ® t j otherwise C s T n i n 0, 1, max | 2 ( ),-----(2) Where, it is classified into three sets, namely the list of
Image Restoration Using Joint Statistical Modeling in Space …
J. Zhang and D. Zhao are with the School of Computer Science and Tech-nology, Harbin Institute of Technology, Harbin 150001, China (e-mail: jzhangcs@hit.edu.cn; dbzhao@hit.edu.cn). R. Xiong, S. Ma, and W. Gao are with the National Engineering Laboratory for Video Technology, and Key Laboratory of Machine Perception (MoE),
Neural Data-Dependent Transform for Learned Image …
Wangxuan Institute of Computer Technology, Peking University fwangdz, yangwenhan, huyy, liujiayingg@pku.edu.cn Abstract Learned image compression has achieved great success due to its excellent modeling capacity, but seldom further considers the Rate-Distortion Optimization (RDO)of each input image.To explore this potential in the learned codec,
Image Reconstruction Using Wavelet Transform with …
Image reconstruction is an important aspect in the field of image processing. The quality of the reconstructed image should be high and therefore several algorithms are developed to achieve image reconstruction. Algorithm to reconstruct the image has been developed by using partial 2D Fourier Transform [6].
Medical Image Enhancement Based on Laplace Transform, …
computer hardware level, medical image assisted diagnosis technology based on computer technology has made significant progress. According to whether medical image processing is carried out in frequency domain or space domain, medical image enhancement technology can be divided into frequency domain enhancement and space domain enhancement [1] [2].
Transform An Image Using Computer Full PDF
Transform An Image Using Computer The Enigmatic Realm of Transform An Image Using Computer: Unleashing the Language is Inner Magic ... which offers free access to course materials from the Massachusetts Institute of Technology, and the Digital Public Library of America, which provides a vast collection of digitized books and historical ...
FPGA Implementation of Image De-noising using Haar …
FPGA implementation of image de-noising using Haar wavelet transform. Haar wavelet transform is applied on noisy image to generate all four bands and threshold is applied on it to remove noise. Then inverse transform is used to generate de-noised image. The proposed architecture improves performance
Comparison of analog and digital Fourier transforms in …
2.1 Optical Fourier Transform Properties of Lenses The Fourier transform of a two-dimensional image can be implemented using a positive lens in an optical system. Such a system is shown in Figure 1 ~a!, where the object plane P 1 serves as a light source, P 2 is the back focal plane of the Fourier transform lens, and P 3 is the principal plane ...
Image Fusion using Mallat Algorithm of Wavelet Transform
Sep 30, 2019 · using the transforms are then normalized and then the inverse wavelet transform is applied to get the final image [16]. Figure.2 Image fusion using DWT There is a lot of scope for applying the Discrete Wavelet Transform (DWT) in many fields like Bio-Informatics, Compression of data, images and videos, Pattern recognization etc.
Image Compression using Haar Wavelet Transform and …
By using this image is decomposed into four bands. There exist three types of detail image for each resolution: horizontal (HL), vertical (LH), and diagonal (HH). The operations can be repeated on the low low (LL) band low high (LH), high low (HL), high high (HH) using the second stage of identical filter bank. Transform block
A REVIEW ON TRANSFORM BASED IMAGE COMPRESSION …
for image compression. The transform was fully reversible (and hence, is ideal for lossy along with lossless image compression) and preserves the bit-length for the GST components (allowing existing algorithms to be placed on the components). They developed an encoder-decoder tool using the transform and JPEG-LS
Lane Line Detection using Hough Transform and …
techniques. we'll be using OpenCV, an open-source library of computer vision algorithms, for implementation. Basic Block Diagram: The Hough transform could even be a feature extraction technique utilized in image analysis, computer vision, and digital image processing. the aim of …
International Journal of Advanced Multidisciplinary
Image compression can be accomplished using a variety of techniques, including the Discrete Cosine Transform (DCT) and the Wavelet Algorithm Transform (DWT) [7, 8] .
Image Compression Using Discrete Wavelet Transform and …
ity of decoded image is compared with other techniques. This paper is structured as follows. Section II presents the image compression using proposed method, which contains the network architecture design, encoding, decoding and entropy encoder. Section III gives the results for the pro-posed image compression technique and also comparison
Image Encryption using Fractional Integral transforms: …
Classification of architectures for fractional transform-based image encryption 2.1 Optical data processing The optical data processing got introduced almost four decades before by Van der Lugt as optical correlator which is based on usage of thin lens to produce two dimensional Fourier transform of an image. This further led to
Image Compression Using the Discrete Cosine Transform
Image Compression Using the Discrete Cosine Transform Andrew B. Watson NASA Ames Research Center Abstract The discrete cosine transform (DCT) is a technique for converting a signal into elementary frequency components. It is widely used in image compression. Here we develop some simple functions to compute the DCT and to compress images.
IMAGE DENOISING USING WAVELET TRANSFORM - IJRET
original image. 2.1 Wavelet Decomposition The wavelet decomposition is the first step for the image denoising using wavelet transform algorithm. The DWT (Discrete Wavelet Transform) follows the rule of hierarchy system where the sub-components are represented in the form of frequency tiers. Image is reduced and converted into
A Robust Blind Video Watermarking Scheme based on …
A Robust Blind Video Watermarking Scheme based on Discrete Wavelet Transform and Singular Value Decomposition Amal Hammami 1 a, Amal Ben Hamida 1 b and Chokri Ben Amar 1, 2 c 1REse arch Groups in Intelligent Machines, University of Sfax, National Engineering School of Sfax , Sfax, 3038, Tunisia 2Department of Computer Engineering, College of Computers and …
Review of Multimodality Medical Image Fusion Using …
transform techniques using in the field of medical image fusion. Subsequently, some existing problems are summarized, while we give some suggestions for the future research.
IMAGE COMPRESSION USING DISCRETE COSINE …
Technology Degree in Computer Science and Engineering at the National Institute of Technology, Rourkela (Deemed University) is an authentic work carried out by her under my ... input image. Transform coding techniques use a reversible, linear mathematical transform to map Fig(2.1) Image Compression model Fig(2.2)
Joint method using Akamatsu and discrete wavelet …
discrete wavelet transform for image restoration ... Faculty of Computer Science, Dian Nuswantoro University, Semarang, Indonesia Abstract ... [20]. This technology also takes an important role in digital image processing. Decomposition using wavelet transform produces two-dimensional functions of time and ...
Neural Data-Dependent Transform for Learned Image …
Wangxuan Institute of Computer Technology, Peking University fwangdz, yangwenhan, huyy, liujiayingg@pku.edu.cn Abstract Learned image compression has achieved great success due to its excellent modeling capacity, but seldom further considers the Rate-Distortion Optimization (RDO)of each input image.To explore this potential in the learned codec,
TWIST-GAN: Towards Wavelet Transform and Transferred …
GAN for Spatio-Temporal Single Image Super Resolution FAYAZ ALI DHAREJO∗, FARAH DEEBA∗, and YUANCHUN ZHOU†, Computer Network Information Center, Chinese Academy of Sciences, University of Chinese Academy of Sciences, China BHAGWAN DAS, Department of Electronic Engineering, Quaid-e-Awam University Engineering Science and Technology, Pakistan
Optimizing Fast Fourier Transform (FFT) Image Compression …
for optimizing image compression using Fast Fourier Transform (FFT) and Intelligent Water Drop (IWD) algorithm. IWD-based FFT Compression is a emerging methodology, and we expect compression findings to be much better than the methods currently being applied in the domain. This work aims to enhance the
Medical Image Fusion Schemes using Contourlet Transform …
Medical Image Fusion Schemes Using C ontourlet Transform and PCA Based 95 Image fusion consists of putting together information coming from d ifferent modality of medical images, whereas registration consists of computing the geometrical transformation between two data sets. This geometrical transformation is used to
CIRCULAR OBJECT DETECTION USING A MODIFIED HOUGH …
CIRCULAR OBJECT DETECTION USING A MODIFIED HOUGH TRANSFORM MARCIN SMEREKA, IGNACYDUL ˛EBA Institute of Computer Engineering, Control and Robotics Wrocław University of Technology ul. Janiszewskiego 11/17 50–372 Wrocław, Poland e-mail: marcin.smereka@pwr.wroc.pl
Medical Image Fusion Based on Wavelet Transform - IJSER
transform co-efficient, representing how much the scaled wavelet is similar to the function at location, t = b/a. [18] “If scale and position is varied very smoothly, then transform is called continuous wavelet transform.” Calculating wavelet co-efficient at every possible scale is a fair amount of work, and it generates an awful lot of data.
A modified statistical approach for image fusion using …
satellite images of different scales using wavelet transform. A comparative study on various image fusion methods is presented in [13]. Recently, Zheng et al. [14] used Support Value Transform for multi-source image fusion, where the original multi-source images are decomposed into sequence of support value images plus the low-frequency component.
Wavelet Transforms And Image Approximation Based Image …
Keywords : Image compression, wavelet transform, Image approximation, wavelet coefficient, Discrete Wavelet Transform. —————————— —————————— I. INTRODUCTION In computer vision, image compression has been a major area of study strength [2]. Capturing several images with the help of camera is done by every ...
Lecture 11: Fourier Transform Image Representation
Oct 14, 2005 · Fourier Transform and Image Representation The Fourier transform is an algorithm that converts a signal or image to the frequency domain. The inverse Fourier transform gets it back to the original domain. What is the purpose of doing this? 1. The data representation in the frequency domain reveals information about the image. 2.
Application of Discrete Sine Transform in Image Processing
Application of Discrete Sine Transform in Image Nitesh Agarwal Department of Computer Science Jodhpur Institute of Engineering & Technology Rahul Solanki Dr. A.M. Khan Department of Mathematics Department Of Mathematics Jodhpur Institute of Engineering & Technology Jodhpur Institute of Engineering & Technology Jodhpur, India Jodhpur, India
Image encryption using fractional integral transforms: …
transform, Gabor transform etc. were proposed as an alternative. The initial work on fractional transform by Namias [2] presented a theory on fractional powers of Fourier transform and its application to quantum mechanics. The formal mathematical elaboration to Namias’s theory was given by Mc Bride and Kerr [3].
for Image Processing Applications - IntechOpen
17 The Wavelet Transform for Image Processing Applications Bouden Toufik 1 and Nibouche Mokhtar 2 1Automatic Department, Laboratory of Non Destructive Testing, Jijel U niversity 2Bristol Robotic Laboratory, Department of Electrical and Computer E ngineering, University of the West of England 1Algeria 2UK 1. Introduction In recent years, the wavelet tr ansform emerged in the …
Optimized Image Scaling Using DWT and Different …
image and signal processing, the detection of aircraft, pattern recognition, and submarines, computer graphics and other medical image technologies[21],[22],[23], [24] [25], [26]. Wavelet transform provides as efficient way for performing image fusion at multi scales with several advantages such as
Hybrid Image Encryption Using Elliptic Curve Cryptography
Hybrid Image Encryption Using Elliptic Curve Cryptography, Hadamard Transform and Hill Cipher Desam Vamsi* School of Computer Science and Engineering, VIT-AP University, Andhra Pradesh, India. E-mail: d.vamsi1@gmail.com Pradeep Reddy CH School of Computer Science and Engineering, VIT-AP University, Andhra Pradesh, India.
Meaningful image encryption algorithm based on …
development of computer technology, cryptanalysis, and attack technology, it is possible to break an image encryption algorithm. Image has a two-dimensional structure, and proper-ties of large amount of data and high redundancy. For the above reasons, it …
Images in the Frequency Domain - Yani
• Usually image filtering is only done in frequency domain for large image filters • It turns out there is a much more efficient implementation of the Discrete Fourier Transform (DFT) called the Fast Fourier Transform (FFT) • For a 1D signal with N data points, DFT is !(#$), FFT is !(#log#)
Image Compression and Reconstruction using Discrete Rajan …
As the technology in image processing systems, advances, such as greater resolutions and color definitions, the information stored in image files ... image compression metrics using transform-based compression, especially the wavelet transform. They used different wavelets like Haar, Daubechies, Coiflet, Symlet
Image Reconstruction Using Wavelet Transform with …
Image reconstruction is an important aspect in the field of image processing. The quality of the reconstructed image should be high and therefore several algorithms are developed to achieve image reconstruction. Algorithm to reconstruct the image has been developed by using partial 2D Fourier Transform [6].
Image Registration Based on Normalized Cross Correlation …
more transparent, while chosen image block stays the same. That way, best block from source image is more accentuated. At the end, transformed source image is shown. 4 DCT based approach Discrete cosine transform is highly related to dis-crete Fourier transform. This is a separable lin-ear transform, which means that the two-dimensional
Image in image Steganography Technique based on …
single 24-bit cover image using LSB substitution based image steganography. They have encrypted a secret image before hiding in the cover image using Arnold Transform. S. Shankar, et al [6] proposed data hiding and image encryption scheme using random diffusion and two dimensional Arnold cat mapping transform. They also placed
Discrete Wavelet Transform Based Image Fusion Using …
Discrete wavelet transform based image fusion using unsharp masking is presented. DWT is used for decomposing input images (infrared, visible). Approximation and detailed coefficients are generated.
Computer aided diagnosis of glaucoma using discrete and
IET Image Processing Research Article Computer aided diagnosis of glaucoma using discrete and empirical wavelet transform from fundus images ISSN 1751-9659 Received on 13th April 2018 Revised 24th July 2018 Accepted on 8th October 2018 E-First on 14th November 2018 doi: 10.1049/iet-ipr.2018.5297 www.ietdl.org Bhupendra Singh Kirar1, Dheeraj ...
Content-Based Image Retrieval Using Discrete Wavelet …
Chi-square distance means comparing two parameters the image stored in database and the query image whether they are related together or not. The search and retrieval is based on measuring the distance between query image and the target image [8]. The rank of each target image is calculated based on their distance from the query image.
High Precision Analog Gauge Reader Using Optical Flow and …
Before we apply the Hough Transform on the images, we find out the edges using Canny edge detection. Its implementation using OpenCV function has advantages as it performs noise reduction, finds intensity gradient and also performs non-maximum suppression and hysteresis thresholding. D. Dial and Pointer Detection Using Hough Transform
Medical Image Fusion using Transform Based Fusion …
International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878 (Online), Volume-8 Issue-2, July 2019 ... Professor Department with that of the advanced multiof Computer Science and Engineering in CollegeGeethanjali of Engineering and Technology ... Medical Image Fusion using Transform Based Fusion Techniques D. Srinivasa Rao ...
