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Comparison of Lossless Image Compression Techniques based on Context Modeling

Comparison of Lossless Image Compression Techniques based on Context Modeling PDF Author: Mohammad El-Ghoboushi
Publisher: GRIN Verlag
ISBN: 3656932832
Category : Computers
Languages : en
Pages : 85

Book Description
Master's Thesis from the year 2014 in the subject Computer Science - Software, , course: Image Processing, language: English, abstract: In this thesis various methods for lossless compression of source image data are analyzed and discussed. The main focus in this work is lossless compression algorithms based on context modeling using tree structure. We are going to compare CALIC, GCT-I algorithms to the JPEG2000 standard algorithm which will be considered the reference of comparison. This work includes research on how to modify CALIC algorithm in continuous-tone mode by truncating tails of the error histogram which may lead to improve CALIC compression performance. Also, we are going to propose a modification to CALIC in binary mode by eliminating error feedback mechanism. As when any pixel to be encoded has a different grey level than any of the neighboring pixels, CALIC triggers an escape sequence that switches the algorithm from binary mode to continuous-tone mode. Which means in this case the pixel will be treated as if it was in continuous-tone region. This minor modification should improve CALIC performance in binary images. Finally, we are going to discuss the GCT-I on medical images and compare results to the JPEG2000 standard.

Comparison of Lossless Image Compression Techniques based on Context Modeling

Comparison of Lossless Image Compression Techniques based on Context Modeling PDF Author: Mohammad El-Ghoboushi
Publisher: GRIN Verlag
ISBN: 3656932832
Category : Computers
Languages : en
Pages : 85

Book Description
Master's Thesis from the year 2014 in the subject Computer Science - Software, , course: Image Processing, language: English, abstract: In this thesis various methods for lossless compression of source image data are analyzed and discussed. The main focus in this work is lossless compression algorithms based on context modeling using tree structure. We are going to compare CALIC, GCT-I algorithms to the JPEG2000 standard algorithm which will be considered the reference of comparison. This work includes research on how to modify CALIC algorithm in continuous-tone mode by truncating tails of the error histogram which may lead to improve CALIC compression performance. Also, we are going to propose a modification to CALIC in binary mode by eliminating error feedback mechanism. As when any pixel to be encoded has a different grey level than any of the neighboring pixels, CALIC triggers an escape sequence that switches the algorithm from binary mode to continuous-tone mode. Which means in this case the pixel will be treated as if it was in continuous-tone region. This minor modification should improve CALIC performance in binary images. Finally, we are going to discuss the GCT-I on medical images and compare results to the JPEG2000 standard.

Context Modeling for Lossless Embedded Wavelet Image Compression

Context Modeling for Lossless Embedded Wavelet Image Compression PDF Author: Jeffrey David Hebert
Publisher:
ISBN:
Category :
Languages : en
Pages : 82

Book Description


Medical Imaging: Concepts, Methodologies, Tools, and Applications

Medical Imaging: Concepts, Methodologies, Tools, and Applications PDF Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1522505725
Category : Medical
Languages : en
Pages : 2118

Book Description
Medical imaging has transformed the ways in which various conditions, injuries, and diseases are identified, monitored, and treated. As various types of digital visual representations continue to advance and improve, new opportunities for their use in medical practice will likewise evolve. Medical Imaging: Concepts, Methodologies, Tools, and Applications presents a compendium of research on digital imaging technologies in a variety of healthcare settings. This multi-volume work contains practical examples of implementation, emerging trends, case studies, and technological innovations essential for using imaging technologies for making medical decisions. This comprehensive publication is an essential resource for medical practitioners, digital imaging technologists, researchers, and medical students.

Signal Compression

Signal Compression PDF Author: N. Jayant
Publisher: World Scientific
ISBN: 9789810237653
Category : Technology & Engineering
Languages : en
Pages : 244

Book Description
The topic of the proposed book is signal compression. The compression (or low bit rate coding) of speech, audio, image and video signals is a key technology for rapidly emerging opportunities in multimedia products and services.The book contains chapters dedicated to the subtopics of data, speech, audio and visual signal coding, together with an introductory overview chapter on signal compression. The overview article summarizes current capabilities and future trends. The signal-specific chapters that follow focus on the latest technologies and coding standards, while including self-contained introductions to the respective signal domains. The authors of the book chapters are recognized experts in the field of signal processing, compression in particular.Signal compression dealing with both audio and visual signals technology has progressed very rapidly. The proposed book fills a clear void, and should prove to be a valuable reference, both to the practicing professional and to the relatively uninitiated student.

Document and Image Compression

Document and Image Compression PDF Author: Mauro Barni
Publisher: CRC Press
ISBN: 1420018833
Category : Technology & Engineering
Languages : en
Pages : 456

Book Description
Although it's true that image compression research is a mature field, continued improvements in computing power and image representation tools keep the field spry. Faster processors enable previously intractable compression algorithms and schemes, and certainly the demand for highly portable high-quality images will not abate. Document and Image Compression highlights the current state of the field along with the most probable and promising future research directions for image coding. Organized into three broad sections, the book examines the currently available techniques, future directions, and techniques for specific classes of images. It begins with an introduction to multiresolution image representation, advanced coding and modeling techniques, and the basics of perceptual image coding. This leads to discussions of the JPEG 2000 and JPEG-LS standards, lossless coding, and fractal image compression. New directions are highlighted that involve image coding and representation paradigms beyond the wavelet-based framework, the use of redundant dictionaries, the distributed source coding paradigm, and novel data-hiding techniques. The book concludes with techniques developed for classes of images where the general-purpose algorithms fail, such as for binary images and shapes, compound documents, remote sensing images, medical images, and VLSI layout image data. Contributed by international experts, Document and Image Compression gathers the latest and most important developments in image coding into a single, convenient, and authoritative source.

Compression of Biomedical Images and Signals

Compression of Biomedical Images and Signals PDF Author: Amine Nait-Ali
Publisher: John Wiley & Sons
ISBN: 1118623800
Category : Science
Languages : en
Pages : 328

Book Description
During the last decade, image and signal compression for storage and transmission purpose has seen a great expansion. But what about medical data compression? Should a medical image or a physiological signal be processed and compressed like any other data? The progress made in imaging systems, storing systems and telemedicine makes compression in this field particularly interesting. However, this compression has to be adapted to the specificities of biomedical data which contain diagnosis information. As such, this book offers an overview of compression techniques applied to medical data, including: physiological signals, MRI, X-ray, ultrasound images, static and dynamic volumetric images. Researchers, clinicians, engineers and professionals in this area, along with postgraduate students in the signal and image processing field, will find this book to be of great interest.

A Comparison of Some of the Most Current Methods of Image Compression

A Comparison of Some of the Most Current Methods of Image Compression PDF Author: Robert T. Kay
Publisher:
ISBN:
Category :
Languages : en
Pages : 80

Book Description
In this report, commonly used lossless and lossy image compression algorithms are heuristically presented and then compared in terms of performance. The lossy algorithms, JPEG (Joint Photographic Experts Group) and Fractal compression, are compared in terms of their respective sensitivities between compression ratio and image fidelity. Compression algorithms based on the lossless models of Huffman, Adaptive Huffman, and Arithmetic coding are compared in terms of compression ratio and compression/decompression time requirements. High fidelity image reconstructions of JPEG and Fractal compressions are also included in the comparison. Results, for the images tested, indicate that if imperceptible losses in fidelity can be tolerated, then among the current versions of the algorithms tested, the JPEG results in higher compression with less process time.

Visual Information and Information Systems

Visual Information and Information Systems PDF Author: Nies Huijsmans
Publisher: Springer
ISBN: 354048762X
Category : Computers
Languages : en
Pages : 851

Book Description
This book constitutes the refereed proceedings of the Third International Conference on Visual Information Systems, VISUAL'99, held in Amsterdam, The Netherlands, in June 1999. The 100 revised papers presented were carefully reviewed and selected from numerous submissions. The book is divided into topical sections on visual information systems, interactive visual query, Internet search engines, video parsing, spatial data, visual languages, features and indexes for image retrieval, object retrieval, ranking and performance, shape retrieval, retrieval systems, image compression, virtual environments, recognition systems, and visualization systems.

Research Developments in Computer Vision and Image Processing: Methodologies and Applications

Research Developments in Computer Vision and Image Processing: Methodologies and Applications PDF Author: Srivastava, Rajeev
Publisher: IGI Global
ISBN: 1466645598
Category : Computers
Languages : en
Pages : 451

Book Description
Similar to the way in which computer vision and computer graphics act as the dual fields that connect image processing in modern computer science, the field of image processing can be considered a crucial middle road between the vision and graphics fields. Research Developments in Computer Vision and Image Processing: Methodologies and Applications brings together various research methodologies and trends in emerging areas of application of computer vision and image processing. This book is useful for students, researchers, scientists, and engineers interested in the research developments of this rapidly growing field.

Computer Vision and Graphics

Computer Vision and Graphics PDF Author: K. Wojciechowski
Publisher: Springer Science & Business Media
ISBN: 9781402041785
Category : Computers
Languages : en
Pages : 532

Book Description
This volume, and the accompanying CD-ROM, contain 163 contributions from ICCVG04, which is one of the main international conferences in computer vision and computer graphics in Central Europe. This biennial conference was organised in 2004 jointly by the Association for Image Processing, the Polish-Japanese Institute of Information Technology, and the Silesian University of Technology. The conference covers a wide scope, including Computer Vision, Computational Geometry, Geometrical Models of Objects and Sciences, Motion Analysis, Visual Navigation and Active Vision, Image and Video Coding, Color and Multispectral Image Processing, Image Filtering and Enhancement, Virtual Reality and Multimedia Applications, Biomedical Applications, Image and Video Databases, Pattern Recognition, Modelling of Human Visual Perception, Computer Animation, Visualization and Data Presentation. These proceedings document cutting edge research in computer vision and graphics, and will be an essential reference for all researchers working in the area.