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Lossless Compression Handbook
1st Edition - December 18, 2002
Author: Khalid Sayood
eBook ISBN:
9 7 8 - 0 - 0 8 - 0 5 1 0 4 9 - 1
The 21 chapters in this handbook are written by the leading experts in the world on the theory, techniques, applications, and standards surrounding lossless compression. As with… Read more
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The 21 chapters in this handbook are written by the leading experts in the world on the theory, techniques, applications, and standards surrounding lossless compression. As with most applied technologies, the standards section is of particular importance to practicing design engineers. In order to create devices and communication systems that can communicate and be compatible with other systems and devices, standards must be followed.
*Clearly explains the process of compression and transmission of multimedia signals *Invaluable resource for engineers dealing with image processing, signal processing, multimedia systems, wireless technology and more
Part I Theory: Information Theory behind Source Coding; Complexity Measures; Part II Compression Techniques: Universal Codes; Huffman Coding; Arithmetic Coding; Dictionary-Based Data Compression: An Algorithmic Perspective; Burrows-Wheeler Compression; Symbol-Ranking and ACB Compression; Part III Applications: Lossless Image Compression; Text Compression; Compression of Telemetry; Lossless Compression of Audio Data; Algorithms for Delta Compression and Remote File Synchronization; Compression of Unicode Files; Part IV Standards: JPEG-LS Lossless and Near Lossless Image Compression; The CCDS Losless Data Compression Recommendation for Space Applications; Lossless Bilevel Image Compression; JPEG2000: Highly Scalable Image Compression; PNG Losless Image Compression; Facsimile Compression; Part V Hardware: Hardware Implementation of Data Compression
- No. of pages: 454
- Language: English
- Published: December 18, 2002
- Imprint: Academic Press
- eBook ISBN: 9780080510491
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Khalid Sayood
Khalid Sayood received his BS and MS in Electrical Engineering from the University of Rochester in 1977 and 1979, respectively, and his Ph.D. in Electrical Engineering from Texas A&M University in 1982. In 1982, he joined the University of Nebraska, where he is the Heins Professor of Engineering. His research interests include data compression, joint source channel coding, and bioinformatics.
Affiliations and expertise
Department of Electrical and Computer Engineering, University of Nebraska, Lincoln, Nebraska, USA