Document and Image Compression
About this book
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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Information
Table of contents
- Front cover
- Preface
- About the Editor
- Contributors
- Table of Contents
- Part I: State of the Art
- Chapter 1. Multiresolution Analysis for Image Compression
- Chapter 2. Advanced Modeling and Coding Techniques for Image Compression
- Chapter 3. Perceptual Aspects of Image Coding
- Chapter 4. The JPEG Family of Coding Standards
- Chapter 5. Lossless Image Coding
- Chapter 6. Fractal Image Compression
- Part II: New Directions
- Chapter 7. BeyondWavelets: New Image Representation Paradigms
- Chapter 8. Image Coding Using Redundant Dictionaries
- Chapter 9. Distributed Compression of Field Snapshots in Sensor Networks
- Chapter 10. Data Hiding for Image and Video Coding
- Part III: Domain-Specific Coding
- Chapter 11. Binary Image Compression
- Chapter 12. Two-Dimensional Shape Coding
- Chapter 13. Compressing Compound Documents
- Chapter 14. Trends in Model-Based Coding of Multidimensional Medical Data
- Chapter 15. Remote-Sensing Image Coding
- Chapter 16. Lossless Compression of VLSI Layout Image Data
- INDEX
- Back cover
