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Data compression is one of the most important techniques in computing engineering. From archiving data to CDROMs and from coding theory to image analysis, many facets of computing make use of data compression in one form or another. This book is intended to provide an overview of the many different types of it includes a taxonomy, an analysis of the most common systems of compression, discussion of their relative benefits and disadvantages, and their most common usages. Readers are presupposed to have a basic understanding of computer essentially the storage of data in bytes and bits and computing terminology, but otherwise this book is selfcontained. The book divides naturally into four main parts based on the main branches of data run length encoding, statistical methods, dictionarybased methods, and lossy image compression (where in contrast to the other techniques, information in the data may be lossed but an acceptable standard of image quality retained). Detailed descriptions of many of the most wellknown compression techniques are covered Zip, BinHex, Huffman coding, GIF and many others.
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