Storage Retrieval

Download Data Compression: The Complete Reference by David Salomon PDF

By David Salomon

Information compression is without doubt one of the most vital innovations in computing engineering. From archiving facts to CD-ROMs and from coding thought to photograph research, many features of computing utilize facts compression in a single shape or one other. This booklet is meant to supply an outline of the numerous sorts of compression: it encompasses a taxonomy, an research of the commonest platforms of compression, dialogue in their relative advantages and drawbacks, and their commonest usages. Readers are purported to have a simple figuring out of laptop technological know-how: basically the garage of knowledge in bytes and bits and computing terminology, yet differently this ebook is self-contained. The e-book divides obviously into 4 major components according to the most branches of knowledge compression: run size encoding, statistical tools, dictionary-based tools, and lossy snapshot compression (where unlike the opposite strategies, info within the info can be lossed yet an appropriate typical of snapshot caliber retained). precise descriptions of a few of the such a lot recognized compression thoughts are lined together with: Zip, BinHex, Huffman coding, GIF and so forth.

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Additional info for Data Compression: The Complete Reference

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If they were identical, there would be no way to decompress them and get back file A or file B. Suppose that a file of size n bits is given and we want to compress it efficiently. Any compression method that can compress this file to, say, 10 bits would be welcome. Even compressing it to 11 bits or 12 bits would be great. We therefore (somewhat arbitrarily) assume that compressing such a file to half its size or better is considered good compression. There are 2n n-bit files and they would have to be compressed into 2n different files of sizes less than or equal to n/2.

In such a case, runs of each color should be encoded separately. Thus the pixels (171, 85, 34), (172, 85, 35), (172, 85, 30), and (173, 85, 33) should be separated into the three sequences (171, 172, 172, 173, . ), (85, 85, 85, 85, . ), and (34, 35, 30, 33, . ). Each sequence should be run-length encoded separately. This means that any method for compressing grayscale images can be applied to color images as well. 30 1. Basic Techniques 3. It is preferable to encode each row of the bitmap individually.

G. 264 and MPEG-4 Video Compression: Video Coding for Next Generation Multimedia, John Wiley and Sons (2003). Khalid Sayood, Lossless Compression Handbook, Academic Press (2002). Touradj Ebrahimi and Fernando Pereira, The MPEG-4 Book, Prentice Hall (2002). Adam Drozdek, Elements of Data Compression, Course Technology (2001). David Taubman and Michael Marcellin (Editors), JPEG2000: Image Compression Fundamentals, Standards and Practice, Springer Verlag (2001). Kamisetty Ramam Rao, The Transform and Data Compression Handbook, CRC (2000).

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