Introduction to Data Compression: The Morgan Kaufmann Series in Multimedia Information and Systems
Autor Khalid Sayooden Limba Engleză Paperback – 22 oct 2017
Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio and video. This new edition includes all the latest developments in the field.
Khalid Sayood provides an extensive introduction to the theory underlying today’s compression techniques, with detailed instruction for their applications using several examples to explain the concepts. Encompassing the entire field of data compression, the book includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, and scalar and vector quantization.
The book provides a comprehensive working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package.
- Explains established and emerging standards in- depth, including JPEG 2000, JPEG-LS, MPEG-2, H.264, JBIG 2, ADPCM, LPC, CELP, MELP, iLBC and the new HEVC standard
- Includes more coverage of lattices in vector quantization
- Contains improved and expanded end-of-chapter problems
- Source code is provided via a companion website that gives readers the opportunity to build their own algorithms and choose and implement techniques in their own applications
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Specificații
ISBN-13: 9780128094747
ISBN-10: 0128094745
Pagini: 790
Dimensiuni: 191 x 235 x 42 mm
Greutate: 1.58 kg
Ediția:5
Editura: ELSEVIER SCIENCE
Seria The Morgan Kaufmann Series in Multimedia Information and Systems
ISBN-10: 0128094745
Pagini: 790
Dimensiuni: 191 x 235 x 42 mm
Greutate: 1.58 kg
Ediția:5
Editura: ELSEVIER SCIENCE
Seria The Morgan Kaufmann Series in Multimedia Information and Systems
Public țintă
Graduate students in data compression, multimedia, and info theory courses at CS/ECE programs; software and hardware engineers; networking and database professionals working with data and file compressionCuprins
1. Introduction
2. Mathematical Preliminaries for Lossless Compression
3. Huffman Coding
4. Arithmetic Coding
5. Dictionary Techniques
6. Context-Based Compression
7. Lossless Image Compression
8. Mathematical Preliminaries for Lossy Coding
9. Scalar Quantization
10. Vector Quantization
11. Differential Encoding
12. Mathematical Preliminaries for Transforms, Subbands, and Wavelets
13. Transform Coding
14. Subband Coding
15. Wavelets
16. Wavelet-Based Image Compression
17. Audio Coding
18. Analysis/Synthesis and Analysis by Synthesis Schemes
19. Video Compression
APPENDIX A: Probability and Random Processes
APPENDIX B: A Brief Review of Matrix Concepts
APPENDIX C: The Root Lattices
2. Mathematical Preliminaries for Lossless Compression
3. Huffman Coding
4. Arithmetic Coding
5. Dictionary Techniques
6. Context-Based Compression
7. Lossless Image Compression
8. Mathematical Preliminaries for Lossy Coding
9. Scalar Quantization
10. Vector Quantization
11. Differential Encoding
12. Mathematical Preliminaries for Transforms, Subbands, and Wavelets
13. Transform Coding
14. Subband Coding
15. Wavelets
16. Wavelet-Based Image Compression
17. Audio Coding
18. Analysis/Synthesis and Analysis by Synthesis Schemes
19. Video Compression
APPENDIX A: Probability and Random Processes
APPENDIX B: A Brief Review of Matrix Concepts
APPENDIX C: The Root Lattices