Digital Image Compression Techniques
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Digital Image Compression Techniques
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Author : Majid Rabbani
language : en
Publisher: SPIE Press
Release Date : 1991
Digital Image Compression Techniques written by Majid Rabbani and has been published by SPIE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.
In order to utilize digital images effectively, specific techniques are needed to reduce the number of bits required for their representation. This Tutorial Text provides the groundwork for understanding these image compression tecniques and presents a number of different schemes that have proven useful. The algorithms discussed in this book are concerned mainly with the compression of still-frame, continuous-tone, monochrome and color images, but some of the techniques, such as arithmetic coding, have found widespread use in the compression of bilevel images. Both lossless (bit-preserving) and lossy techniques are considered. A detailed description of the compression algorithm proposed as the world standard (the JPEG baseline algorithm) is provided. The book contains approximately 30 pages of reconstructed and error images illustrating the effect of each compression technique on a consistent image set, thus allowing for a direct comparison of bit rates and reconstucted image quality. For each algorithm, issues such as quality vs. bit rate, implementation complexity, and susceptibility to channel errors are considered.
Digital Image Compression
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Author : Weidong Kou
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14
Digital Image Compression written by Weidong Kou and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Computers categories.
Digital image business applications are expanding rapidly, driven by recent advances in the technology and breakthroughs in the price and performance of hardware and firmware. This ever increasing need for the storage and transmission of images has in turn driven the technology of image compression: image data rate reduction to save storage space and reduce transmission rate requirements. Digital image compression offers a solution to a variety of imaging applications that require a vast amount of data to represent the images, such as document imaging management systems, facsimile transmission, image archiving, remote sensing, medical imaging, entertainment, HDTV, broadcasting, education and video teleconferencing. Digital Image Compression: Algorithms and Standards introduces the reader to compression algorithms, including the CCITT facsimile standards T.4 and T.6, JBIG, CCITT H.261 and MPEG standards. The book provides comprehensive explanations of the principles and concepts of the algorithms, helping the readers' understanding and allowing them to use the standards in business, product development and R&D. Audience: A valuable reference for the graduate student, researcher and engineer. May also be used as a text for a course on the subject.
Digital Image Processing Algorithms And Applications
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Author : Ioannis Pitas
language : en
Publisher: John Wiley & Sons
Release Date : 2000-02-22
Digital Image Processing Algorithms And Applications written by Ioannis Pitas and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-02-22 with Technology & Engineering categories.
A unique collection of algorithms and lab experiments for practitioners and researchers of digital image processing technology With the field of digital image processing rapidly expanding, there is a growing need for a book that would go beyond theory and techniques to address the underlying algorithms. Digital Image Processing Algorithms and Applications fills the gap in the field, providing scientists and engineers with a complete library of algorithms for digital image processing, coding, and analysis. Digital image transform algorithms, edge detection algorithms, and image segmentation algorithms are carefully gleaned from the literature for compatibility and a track record of acceptance in the scientific community. The author guides readers through all facets of the technology, supplementing the discussion with detailed lab exercises in EIKONA, his own digital image processing software, as well as useful PDF transparencies. He covers in depth filtering and enhancement, transforms, compression, edge detection, region segmentation, and shape analysis, explaining at every step the relevant theory, algorithm structure, and its use for problem solving in various applications. The availability of the lab exercises and the source code (all algorithms are presented in C-code) over the Internet makes the book an invaluable self-study guide. It also lets interested readers develop digital image processing applications on ordinary desktop computers as well as on Unix machines.
Digital Image Processing Methods
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Author : Dougherty
language : en
Publisher: CRC Press
Release Date : 2020-08-26
Digital Image Processing Methods written by Dougherty and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-26 with Computers categories.
This unique reference presents in-depth coverage of the latest methods and applications of digital image processing describing various computer architectures ideal for satisfying specific image processing demands.
Still Image Compression On Parallel Computer Architectures
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Author : Savitri Bevinakoppa
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Still Image Compression On Parallel Computer Architectures written by Savitri Bevinakoppa and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Still Image Compression on Parallel Computer Architectures investigates the application of parallel-processing techniques to digital image compression. Digital image compression is used to reduce the number of bits required to store an image in computer memory and/or transmit it over a communication link. Over the past decade advancements in technology have spawned many applications of digital imaging, such as photo videotex, desktop publishing, graphics arts, color facsimile, newspaper wire phototransmission and medical imaging. For many other contemporary applications, such as distributed multimedia systems, rapid transmission of images is necessary. Dollar cost as well as time cost of transmission and storage tend to be directly proportional to the volume of data. Therefore, application of digital image compression techniques becomes necessary to minimize costs. A number of digital image compression algorithms have been developed and standardized. With the success of these algorithms, research effort is now directed towards improving implementation techniques. The Joint Photographic Experts Group (JPEG) and Motion Photographic Experts Group(MPEG) are international organizations which have developed digital image compression standards. Hardware (VLSI chips) which implement the JPEG image compression algorithm are available. Such hardware is specific to image compression only and cannot be used for other image processing applications. A flexible means of implementing digital image compression algorithms is still required. An obvious method of processing different imaging applications on general purpose hardware platforms is to develop software implementations. JPEG uses an 8 × 8 block of image samples as the basic element for compression. These blocks are processed sequentially. There is always the possibility of having similar blocks in a given image. If similar blocks in an image are located, then repeatedcompression of these blocks is not necessary. By locating similar blocks in the image, the speed of compression can be increased and the size of the compressed image can be reduced. Based on this concept an enhancement to the JPEG algorithm is proposed, called Bock Comparator Technique (BCT). Still Image Compression on Parallel Computer Architectures is designed for advanced students and practitioners of computer science. This comprehensive reference provides a foundation for understanding digital image compression techniques and parallel computer architectures.
Fractal And Wavelet Image Compression Techniques
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Author : Stephen T. Welstead
language : en
Publisher: SPIE Press
Release Date : 1999
Fractal And Wavelet Image Compression Techniques written by Stephen T. Welstead and has been published by SPIE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.
Interest in image compression for internet and other multimedia applications has spurred research into compression techniques that will increase storage capabilities and transmission speed. This tutorial provides a practical guide to fractal and wavelet approaches--two techniques with exciting potential. It is intended for scientists, engineers, researchers, and students. It provides both introductory information and implementation details. Three Windows-compatible software systems are included so that readers can explore the new technologies in depth. Complete C/C++ source code is provided, enabling readers to go beyond the accompanying software. The mathematical presentation is accessible to advanced undergraduate or beginning graduate students in technical fields.
Digital Image Computing Techniques And Applications
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Author : Changming Sun
language : en
Publisher: CSIRO PUBLISHING
Release Date : 2003-12-01
Digital Image Computing Techniques And Applications written by Changming Sun and has been published by CSIRO PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-12-01 with Technology & Engineering categories.
Digital Image Computing: Techniques and Applications is the premier biennial conference in Australia on the topics of image processing and image analysis. This seventh edition of the proceedings has seen an unprecedented level of submission, on such diverse areas as: Image processing; Face recognition; Segmentation; Registration; Motion analysis; Medical imaging; Object recognition; Virtual environments; Graphics; Stereo-vision; and Video analysis. These two volumes contain all the 108 accepted papers and five invited talks that were presented at the conference. These two volumes provide the Australian and international imaging research community with a snapshot of current theoretical and practical developments in these areas. They are of value to any engineer, computer scientist, mathematician, statistician or student interested in these matters.
Advances In Digital Image Compression Techniques
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Author : National University of Singapore. Dept. of Information Systems and Computer Science
language : en
Publisher:
Release Date : 1992
Advances In Digital Image Compression Techniques written by National University of Singapore. Dept. of Information Systems and Computer Science and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Data compression (Computer science) categories.
Abstract: "Interest in development of multimedia system, which can handle digital voice and video as well as text and graphics, is ever growing. Due to the fact that large amount [sic] of data are required to represent digital image, data compression is necessary. This paper first explains how image data can be compressed and presents a review of image compression techniques. Some techniques are more mature, such as predictive coding, some are relatively new, such as subband coding and model-based coding. Then currently proposed international standards on image compression techniques are described. Finally, applications and future direction of image compression techniques are discussed in view of the development of multimedia systems."
Digital Image Processing And Analysis
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Author : Scott E Umbaugh
language : en
Publisher: CRC Press
Release Date : 2017-11-30
Digital Image Processing And Analysis written by Scott E Umbaugh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-30 with Technology & Engineering categories.
Digital image processing and analysis is a field that continues to experience rapid growth, with applications in many facets of our lives. Areas such as medicine, agriculture, manufacturing, transportation, communication systems, and space exploration are just a few of the application areas. This book takes an engineering approach to image processing and analysis, including more examples and images throughout the text than the previous edition. It provides more material for illustrating the concepts, along with new PowerPoint slides. The application development has been expanded and updated, and the related chapter provides step-by-step tutorial examples for this type of development. The new edition also includes supplementary exercises, as well as MATLAB-based exercises, to aid both the reader and student in development of their skills.
Fundamentals Of Digital Image Processing
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Author : Dandak Kaniyar
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Fundamentals Of Digital Image Processing written by Dandak Kaniyar and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.
"Fundamentals of Digital Image Processing" is a comprehensive guide that delves into the intricacies of manipulating and analyzing digital images. We provide a thorough exploration of fundamental concepts, techniques, and applications in digital image processing. Catering to both beginners and seasoned professionals, the content spans a wide spectrum. Starting with the basics, we introduce core principles of digital image representation, pixel operations, and color models. We then progress into advanced topics such as image enhancement, filtering, and transformation, offering a deep understanding of the algorithms involved. The book covers image segmentation, a crucial aspect of image analysis, discussing various segmentation techniques and their applications in fields like medical imaging, computer vision, and pattern recognition. We also address the evolving field of image compression, highlighting methods to reduce image size without compromising essential information. One notable strength is our practical approach, integrating theory with hands-on examples and real-world applications. We equip readers with tools to implement image processing algorithms using popular programming languages and software. Case studies illustrate digital image processing's impact in diverse fields, including medicine, remote sensing, and multimedia. "Fundamentals of Digital Image Processing" is an indispensable resource for academics, researchers, and practitioners, offering theoretical knowledge and practical insights.