Dcc 95 Data Compression Conference
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DCC '95, Data Compression Conference
Contains the presentations from the March 1995 conference which was sponsored by the IEEE Computer Society Technical Committee on Computer Communications. Among the topics are hierarchical vector quantization of perceptually weighted block transforms; unbounded length contexts for PPM; quadtree based JBIG compression; parallel algorithms for the static dictionary compression; and CREW--compression with reversible embedded wavelets. Includes a poster session and abstracts from industry and NASA workshops. No subject index. Annotation copyright by Book News, Inc., Portland, OR.
Data Compression
Author: David Salomon
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-03-09
Data compression is one of the most important techniques in computing engineering. From archiving data to CD-ROMs 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 compression: 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 science: essentially the storage of data in bytes and bits and computing terminology, but otherwise this book is self-contained. The book divides naturally into four main parts based on the main branches of data compression: run length encoding, statistical methods, dictionary-based 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 well-known compression techniques are covered including: Zip, BinHex, Huffman coding, GIF and many others.
Handbook of Data Compression
Author: David Salomon
language: en
Publisher: Springer Science & Business Media
Release Date: 2010-01-18
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 "how to" 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.