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
Sayood is a lot better at explaining things that are relatively new to him (e.g. the Burrows-Wheeler transform) than things that have been second nature for decades; I don't care what your academic background is, introducing run-length encoding through Markov chains is pretentious as all hell. Still, a thorough overview of data compression (both lossless and lossy) and its applications. While it's less accessible than, say, The Data Compression Book, it covers all of that book's ground and much, much more.
This book gave a very nice introduction on the topic of compression. I can highly recommend it if you are new to the subject, have some mathematics background and would like to know more about the innerwortkings of data compression
To be completely honest I haven't read this cover to cover, some parts are approached from the worst angle possible and I made the choice to supplement it by watching YT explanations... Still, a more-than-sufficient intro into data compression.