Document and Image Compression

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Overview

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.

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Product Details

Table of Contents

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; Søren 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 Führ, 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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