The Transform and Data Compression Handbook / Edition 1

by Kamisetty Ramam Rao, Patrick C. Yip

Overview

Data compression is one of the main contributing factors in the explosive growth in information technology. Without it, a number of consumer and commercial products, such as DVD, videophone, digital camera, MP3, video-streaming and wireless PCS, would have been virtually impossible. Transforming the data to a frequency or other domain enables even more efficient compression. By illustrating this intimate link, The Transform and Data Compression Handbook serves as a much-needed handbook for a wide range of researchers and engineers.

The authors describe various discrete transforms and their applications in different disciplines. They cover techniques, such as adaptive quantization and entropy coding, that result in significant reduction in bit rates when applied to the transform coefficients. With clear and concise presentations of the ideas and concepts, as well as detailed descriptions of the algorithms, the authors provide important insight into the applications and their limitations. Data compression is an essential step towards the efficient storage and transmission of information. The Transform and Data Compression Handbook provides a wealth of information regarding different discrete transforms and demonstrates their power and practicality in data compression.

Product Details

ISBN-13:	9780849336928
Publisher:	Taylor & Francis
Publication date:	09/27/2000
Series:	Electrical Engineering & Applied Signal Processing Series , #1
Edition description:	New Edition
Pages:	408
Product dimensions:	6.00(w) x 9.00(h) x (d)

About the Author

Kamisetty Ramam Rao, Patrick C. Yip

Table of Contents

The Karhunen-Love Transform. The Discrete Fourier Transform. Comparametric Transforms for Transmitting Eye Tap Video with Picture Transfer Portocol (PTP). The Discrete Cosine and Sine Transforms. Lapped Transforms for Image Compression. Wavelet Based Image Compression. Fractal Based Image and Video Compression. Compression of Wavelet Transform Coefficients.

Editorial Reviews

Using data compression as a common theme to unify the chapters into a single account, computer engineers from Europe and North America explore different discrete transforms and their ever-expanding applications in the general area of signal processing. They cover the Karhunen-Lo<`e>vem, the discrete Fourier, comparametric, discrete cosine and sine, and lapped transforms and wavelet-based image and fractal-based image and video compression and the compression of wavelet transform coefficients. The material should interest researchers and engineers in any field that requires data compression. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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