Compression is an option naturally selected when faced with problems of high costs or restricted space. This book offers readers a succinct and reader-friendly foundation to the most important topics in the field of data compression. Divided into two parts, Part I presents the basic approaches to data compression and describes a few popular techniques and methods that are commonly used to compress data. The reader discovers essential concepts, such as variable-length and prefix codes, statistical distribution and run-length codes. Part II concentrates on advanced techniques, such as arithmetic coding, orthogonal transforms, subband transforms and Burrows-Wheeler transform. Complete and clear, this book will be the perfect reference for advanced undergraduates in computer science and requires a minimum of mathematics. An author-maintained website provides readers with errata and auxiliary material.canonical Huffman codes, 75a76, 113 Cantor, Georg Ferdinand Ludwig Philipp ( 1845a1918), 135 Carroll, Lewis (1832a1898), ... 22, 65 da Vinci, Leonardo (1452 a1519), 178 data compression (approaches to), 21a58 data hiding ( steganography), viii data structures, ix, ... 187, 274 discrete wavelet transform ( DWT), 274 discrete-tone image, 143, 274 distributions Gaussian, 275 Laplace, 276 normal, 277anbsp;...
|Title||:||A Concise Introduction to Data Compression|
|Publisher||:||Springer Science & Business Media - 2007-12-18|