Data compression is one of the most important fields and tools in modern computing. From archiving data, to CD-ROMs, and from coding theory to image analysis, many facets of modern computing rely upon data compression. This book provides a comprehensive reference for the many different types and methods of compression. Included are a detailed and helpful taxonomy, analysis of most common methods, and discussions on the use and comparative benefits of methods and description of qhow toq use them. Detailed descriptions and explanations of the most well-known and frequently used compression methods are covered in a self-contained fashion, with an accessible style and technical level for specialists and non-specialists.Each vector C(j) is quantized separately to produce a vector Q(j) of quantized coefficients (JPEG does this differently; see Section 7.10.3). The elements of Q(j) ... Other image compression methods are better suited for lossless image compression. The decoder ... We start with the highly correlated pattern of Table 7.26. This is an ... The Matlab code for this computation is listed in Figure 7.34. 12 10 8 10 12anbsp;...
|Title||:||Handbook of Data Compression|
|Author||:||David Salomon, Giovanni Motta|
|Publisher||:||Springer Science & Business Media - 2010-01-18|