Document and Image Compression
eBook - PDF

Document and Image Compression

  1. 456 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

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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Yes, you can access Document and Image Compression by Mauro Barni in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Computer Graphics. We have over one million books available in our catalogue for you to explore.

Table of contents

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