By David Salomon, Giovanni Motta
Information compression is such an incredible instrument in sleek computing that a few researchers even recommend that each one computing is compression! This accomplished 5th variation of David Salomon’s hugely profitable reference, info Compression, now totally reconceived less than its new name, guide of information Compression, is punctiliously up to date with the newest development within the box. This all-inclusive and basic reference paintings discusses the big variety of compression tools for textual content, graphical information (still photographs and movies), and audio.
Among the real beneficial properties of this available reference are a close index and necessary thesaurus, an in depth bibliography, an appendix proposing and explaining the fundamental innovations and phrases in details idea, liberal use of illustrations and knowledge tables, and wide assurance discussing the use and comparative merits of alternative tools. The book’s logical, transparent and vigorous presentation is geared up round the major branches of knowledge compression, for ease in usage.
This meticulously more desirable, trustworthy guide is a necessary spouse for all desktop scientists; desktop, electric and signal/image processing engineers; and scientists wanting a complete compilation of compression equipment. It calls for just a minimal of arithmetic and is well-suited to nonspecialists and normal readers who want to know and use this worthwhile content material.
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Extra resources for Handbook of Data Compression (5th Edition)
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Why not let scientists develop and implement compression methods and have us use them without worrying about the details? The answer, naturally, is curiosity. Many drivers try to tinker with their car out of curiosity. Many weekend sailors love to mess about with boats even on weekdays, and many children spend hours taking apart a machine, a device, or a toy in an attempt to understand its operation. If you are curious about data compression, this book is for you. The typical reader of this book should have a basic knowledge of computer science; should know something about programming and data structures; feel comfortable with terms such as bit, mega, ASCII, file, I/O, and binary search; and should be curious.
Einstein’s celebrated E = mc2 derives part of its well-deserved fame from the astonishing wealth of meaning it packs into its tiny frame. Maxwell’s equations, the rules of quantum mechanics, and even the basic equations of the general theory of relativity similarly satisfy the parsimony requirement of a fundamental theory: They are compact enough to fit on a T-shirt. By way of contrast, the human genome project, requiring the quantification of hundreds of thousands of genetic sequences, represents the very antithesis of parsimony.
Cried Alice (she was so much surprised, that for the moment she quite forgot how to speak good English). —Lewis Carroll, Alice’s Adventures in Wonderland (1865) Introduction 21 The Ten Commandments of Compression 1. Redundancy is your enemy, eliminate it. 2. Entropy is your goal, strive to achieve it. 3. Read the literature before you try to publish/implement your new, clever compression algorithm. Others may have been there before you. 4. There is no universal compression method that can compress any file to just a few bytes.