Document and image compression
著者
書誌事項
Document and image compression
（Signal processing and communications series, 29）
Taylor & Francis, 2006
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
- STATE OF THE ART Multiresolution Analysis for Image Compression
- Luciano Alparone, Fabrizio Argenti, and Tiziano Bianchi Introduction Wavelet Analysis and Filter Banks Enhanced Laplacian Pyramid Coding Schemes Conclusions References Advanced Modeling and Coding Techniques for Image Compression
- David Taubman Introduction Introduction to Entropy and Coding Arithmetic Coding and Context Modeling Information Sequencing and Embedding Overview of EBCOT Reflections References Perceptual Aspects of Image Coding
- Alessandro Neri, Marco Carli, and Sanjit K. Mitra Introduction The Human Vision System Physiological Models Perceptual Distortion Metrics Evaluation of the JND Threshold Effects of Perception in DCT Domain Perception Metrics in the Wavelet Domain Conclusions References The JPEG Family of Coding Standards
- Enrico Magli Introduction A Brief History of the JPEG Family of Standards The JPEG Standard The JPEG-LS Standard The JPEG 2000 Standard Advanced Research Related to Image-Coding Standards Available Software References Lossless Image Coding
- Soren Forchhammer and Nasir Memon Introduction General Principles Lossless Image Coding Methods Optimizations of Lossless Image Coding Application Domains References Fractal Image Compression
- Raouf Hamzaoui and Dietmar Saupe Introduction The Fractal Image Model Image Partitions Encoder Complexity Reduction Decoder Complexity Reduction Attractor Coding Rate-Distortion Coding Extensions State of the Art Conclusion Acknowledgements References NEW DIRECTIONS Beyond Wavelets: New Image Representation Paradigms
- Hartmut Fuhr, Laurent Demaret, and Felix Friedrich Introduction The Problem and Some Proposed Solutions Digital Wedgelets Digital Curvelets: Contourlets Application to Image Compression Tentative Conclusions and Suggestions for Further Reading Acknowledgements References Image Coding using Redundant Dictionaries
- Pierre Vandergheynst and Pascal Frossard Introduction Redundant Expansions Discussions and Conclusions Acknowledgements References Distributed Compression of Field Snapshots in Sensor Networks
- Sergio D. Servetto Introduction Distributed Compression of Sensor Measurements Transforms for Distributed Decorrelation of Bandlimited Images Physically Constrained Nonbandlimited Images Literature Review Conclusions References Data Hiding for Image and Video Coding
- Patrizio Campisi and Alessandro Piva Introduction Data Hiding for Image and Video Compression Data Hiding for Error Concealment Final Comments Further Readings Acknowledgements References DOMAIN-SPECIFIC CODING Binary Image Compression
- Charles Boncelet Introduction Binary Images Group 3 and 4 Facsimile Algorithms JBIG and JBIG2 Context Weighting Applied to Binary Compression Conclusions References Two-Dimensional Shape Coding
- Joern Ostermann and Anthony Vetro Introduction MPEG-4 Shape Coding Tools Codec Optimization Applications Concluding Remarks References Compressing Compound Documents
- Ricardo L. de Queiroz Introduction Raster Imaging Models MRC for Compression A Simple MRC: JPEG+MMR+JPEG MRC within JPEG 2000 Conclusions References Trends in Model-Based Coding of Multidimensional Medical Data
- Gloria Menegaz Introduction Requirements State of the Art 3-D/2-D ROI-Based MLZC: A 3-D Encoding/2-D Decoding Object-Bases Architecture Object-Based Processing Multidimensional Layered Zero Coding Results and Discussion Conclusions References Remote-Sensing Image Coding
- Bruno Aiazzi, Stefano Baronti, and Cinzia Lastri Introduction Quality Issues in Remote-Sensing Data Compression Distortion Measures Advanced Compression Algorithms for Remote-Sensing Images Near-Lossless Compression through 3D Causal DPCM Near-Lossless Image Compression through Noncausal DPCM Experimental Results Conclusions References Lossless Compression of VLSI Layout Image Data
- Vito Dai and Avideh Zakhor Introduction Overview of C4 Context-Based Prediction Model Copy Regions and Segmentation Hierarchical Combinatorial Coding Extension to Gray Pixels Compression Results Summary Acknowledgement References Index
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