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The Transform and Data Compression Handbook (Electrical Engineering & Applied Signal Processing Series)
 
 
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The Transform and Data Compression Handbook (Electrical Engineering & Applied Signal Processing Series) (Hardcover)

by Kamisetty Ramam Rao (Editor), Pat Yip (Editor) "The goal of image compression is to store an image in a more compact form, i.e., a representation that requires fewer bits for encoding than..." (more)
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Product Description

Product Description
Data compression is one of the primary contributing factors to the explosive growth in information technology. The authors of The Transform and Data Compression Handbook describe various discrete transforms and their applications in different disciplines, particularly in communications, image processing, and image and data storage. Along with clear and concise presentation of concepts and detailed descriptions of algorithms, the editors also provide the definitions and properties of each of the transforms presented. They cover both classical and modern transforms, combining the mathematical theory with the techniques used in data compression.

From the Back Cover
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.
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First Sentence
The goal of image compression is to store an image in a more compact form, i.e., a representation that requires fewer bits for encoding than the original image. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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