Document and Image Compression: 1st Edition (Hardback) book cover

Document and Image Compression

1st Edition

Edited by Mauro Barni

CRC Press

456 pages | 15 Color Illus. | 186 B/W Illus.

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pub: 2006-05-26
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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.

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

About the Series

Signal Processing and Communications

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
COM012000
COMPUTERS / Computer Graphics
TEC007000
TECHNOLOGY & ENGINEERING / Electrical
TEC015000
TECHNOLOGY & ENGINEERING / Imaging Systems