*Invaluable resource for engineers dealing with image processing, signal processing, multimedia systems, wireless technology and more
Table of Contents
- 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
- Copyright: © Academic Press 2002
- Published: December 18, 2002
- Imprint: Academic Press
- eBook ISBN: 9780080510491
About the Author
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.
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