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Fractal Image Compression: Theory and Application (Hardcover)
Fractal Image Compression: Theory and Application (Hardcover)
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GOOD: The book is in excellent condition, but a previous owner's name appears on the front end page. There is no other writing on the pages. The binding is tight and the covers are straight. The book is printed on acid-free paper.Product Details
From the back cover: "This book presents the theory and application of new methods of image compression based on self-transformations of an image. These methods lead to a representation of an image as a fractal, an object with detail at all scales. Very practical and completely up-to-date, this book will serve as a useful references for those working in image processing and encoding and as a great introduction for those unfamiliar with fractals. The book begins with an elementary introduction to the concept of fractal image compression and contains a rigorous description of all the relevant mathematics of the subject. Highlights include:- Recent theoretical results on fast encoding and decoding methods, various schemes for encoding images using fractal methods, and theoretical models for the encoding/decoding process.
- Working C code for a fractal encoding/decoding scheme capable of encoding images in a few seconds, decoding at arbitrary resolution, and achieving high compression ratios.
- Experimental results from various schemes showing their capability and forming the basis for a sophisticated implementation.
- A list of previously unresearched projects containing both new ideas and enhancements to the schemes discussed in the book.
- A comparison of the fractal schemes in the book with JPEG, commercial fractal software, and wavelet methods."
BRIEF CONTENTS
- Preface
- The Authors
- 1 Introduction
- 2 Mathematical Background
- 3 Fractal Image Compression with Quadtrees
- 4 Archetype Classification in an Iterated Transformation Image Compression Algorithm
- 5 Hierarchical Interpretation of Fractal Image Coding and Its Applications
- 6 Fractal Encoding with HV Partitions
- 7 A Discrete Framework for Fractal Signal Modeling
- 8 A Class of Fractal Image Coders with Fast Decoder Convergence
- 9 Fast Attractor Image Encoding by Adaptive Codebook Clustering
- 10 Orthogonal Basis IFS
- 11 A Convergence Model
- 12 Least-Squares Block Coding by Fractal Functions
- 13 Inference Algorithms for WFA and Image Compression
- A Sample Code
- B Exercises
- C Projects
- D Comparison of Results
- E Original Images
- Bibliography
- Index
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PUBLISHER: Springer-Verlag
ISBN-13: 9780387942117
ISBN-10: 0387942114