Overview
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 450)
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Table of contents (24 chapters)
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Introduction
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Preliminaries
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Still Image Coding
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Special Topics in Still Image Coding
Keywords
About this book
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.
Reviews
Journal of Electronic Imaging, 9:2 (2000)
Editors and Affiliations
Bibliographic Information
Book Title: Wavelet Image and Video Compression
Editors: Pankaj N. Topiwala
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/b117069
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1998
Hardcover ISBN: 978-0-7923-8182-2Published: 30 June 1998
Softcover ISBN: 978-1-4757-8264-6Published: 14 April 2013
eBook ISBN: 978-0-306-47043-1Published: 18 April 2006
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XIV, 438
Topics: Acoustics, Optics, Lasers, Photonics, Optical Devices, Signal, Image and Speech Processing, Image Processing and Computer Vision, Electrical Engineering