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Introduction to Data Compression /

Introduction to Data Compression, Fifth Edition, builds on the success of what is widely considered the best introduction and reference text on the art and science of data compression. Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio an...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Sayood, Khalid (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Morgan Kaufmann, 2017.
Edición:5th.
Colección:The Morgan Kaufmann Series in Multimedia Information and Systems
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:Introduction to Data Compression, Fifth Edition, builds on the success of what is widely considered the best introduction and reference text on the art and science of data compression. 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.
Notas:1. Introduction 2. Lossless Compression 3. Huffman Coding 4. Arithmetic Coding 5. Dictionary Techniques 6. Context Based Compression 7. Lossless Image Compression 8. Lossy Coding 9. Scalar Quantization 10. Vector Quantization 11. Differential Encoding 12. Transforms, Subbands, and Wavelets 13. Transform Coding 14. Subband Coding 15. Wavelet-Based Compression 16. Audio Coding 17. Analysis/Synthesis and Analysis by Synthesis Schemes 18. Video Compression Appendix A: Probability and Random Processes Appendix B: A Brief Review of Matrix Concepts Appendix C: The Root Lattices.
Descripción Física:1 online resource (790 pages).
ISBN:9780128097052
0128097051