Wavelet Image and Video Compression

✍ Scribed by Pankaj N. Topiwala (auth.), Pankaj N. Topiwala (eds.)

• Publisher: Springer US
• Year: 2002
• Tongue: English
• Leaves: 433
• Series: The International Series in Engineering and Computer Science 450
• Edition: 1
• Category: Library

✦ Synopsis

An exciting new development has taken place in the digital era that has captured the imagination and talent of researchers around the globe - wavelet image compression. This technology has deep roots in theories of vision, and promises performance improvements over all other compression methods, such as those based on Fourier transforms, vectors quantizers, fractals, neural nets, and many others. It is this revolutionary new technology that is presented in Wavelet Image and Video Compression, in a form that is accessible to the largest audience possible.
Wavelet Image and Video Compression is divided into four parts. Part I, Background Material, introduces the basic mathematical structures that underly image compression algorithms with the intention of providing an easy introduction to the mathematical concepts that are prerequisites for the remainder of the book. It explains such topics as change of bases, scalar and vector quantization, bit allocation and rate-distortion theory, entropy coding, the discrete-cosine transform, wavelet filters and other related topics. Part II, Still Image Coding, presents a spectrum of wavelet still image coding techniques. Part III, Special Topics in Still Image Coding, provides a variety of example coding schemes with a special flavor in either approach or application domain. Part IV, Video Coding, examines wavelet and pyramidal coding techniques for video data.
Wavelet Image and Video Compression serves as an excellent reference and may be used as a text for advanced courses covering the subject.

✦ Table of Contents

Introduction....Pages 1-12
Front Matter....Pages 13-13
Preliminaries....Pages 15-31
Time-Frequency Analysis, Wavelets And Filter Banks....Pages 33-59
Introduction To Compression....Pages 61-81
Symmetric Extension Transforms....Pages 83-91
Front Matter....Pages 93-93
Wavelet Still Image Coding: A Baseline MSE and HVS Approach....Pages 95-109
Image Coding Using Multiplier-Free Filter Banks....Pages 111-122
Embedded Image Coding Using Zerotrees of Wavelet Coefficients....Pages 123-155
A New Fast/Efficient Image Codec Based on Set Partitioning in Hierarchical Trees....Pages 157-170
Space-frequency Quantization for Wavelet Image Coding....Pages 171-197
Subband Coding of Images Using Classification and Trellis Coded Quantization....Pages 199-219
Low-Complexity Compression of Run Length Coded Image Subbands....Pages 221-235
Front Matter....Pages 237-237
Fractal Image Coding as Cross-Scale Wavelet Coefficient Prediction....Pages 239-252
Region of Interest Compression In Subband Coding....Pages 253-259
Wavelet-Based Embedded Multispectral Image Compression....Pages 261-270
The FBI Fingerprint Image Compression Specification....Pages 271-288
Embedded Image Coding Using Wavelet Difference Reduction....Pages 289-301
Block Transforms in Progressive Image Coding....Pages 303-315
Front Matter....Pages 317-317
Brief on Video Coding Standards....Pages 319-322
Interpolative Multiresolution Coding of Advanced TV with Subchannels....Pages 323-347
Front Matter....Pages 317-317
Subband Video Coding for Low to High Rate Applications....Pages 349-359
Very Low Bit Rate Video Coding Based on Matching Pursuits....Pages 361-382
Object-Based Subband/Wavelet Video Compression....Pages 383-396
Embedded Video Subband Coding with 3D SPIHT....Pages 397-432

✦ Subjects

Signal, Image and Speech Processing; Image Processing and Computer Vision; Electronic and Computer Engineering