The Transform and Data Compression Handbook: 1st Edition (Hardback) book cover

The Transform and Data Compression Handbook

1st Edition

Edited by Kamisetty Ramam Rao, Patrick C. Yip

CRC Press

408 pages

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Hardback: 9780849336928
pub: 2000-09-27
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eBook (VitalSource) : 9781315220529
pub: 2018-10-03
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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.

Table of Contents

The Karhunen-Love Transform.

R.D. Dony

The Discrete Fourier Transform.

Ivan W. Selesnick and Gerald Schuller

Comparametric Transforms for Transmitting Eye Tap Video with Picture Transfer Portocol (PTP).

Steve Mann

The Discrete Cosine and Sine Transforms.

Vladimir Britanak

Lapped Transforms for Image Compression.

Ricardo L. de Queiroz and Trac D. Tran

Wavelet Based Image Compression.

James S. Walker and Truong Q. Nguyen

Fractal Based Image and Video Compression.

Guojun Lu

Compression of Wavelet Transform Coefficients

Xiaolin Wu

About the Series

Electrical Engineering & Applied Signal Processing Series

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Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Computer Engineering