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Compression schemes can be divided into two major classes: lossless compression schemes and lossy compression schemes. The 21 chapters in this handbook are written by the leading experts in the world on the theory, techniques, applications, and standards surrounding lossless. The transform and data compression handbook / editors, P.C. Yip, K.R. Rao. the use of lossless compression in this field; however, such an approach is of.
Never before has the topic of lossless compression been so topical. That's why the recent publication of Lossless Compression Handbook, is so timely. It explains the process of compression and transmission of multimedia signals images, text, audio and data so that the decompressed or reconstructed data exactly match the original.
Who is this book for?
Engineers, scientists and other professionals who deal with image processing, signal processing, multimedia systems and wireless technology. It's for anyone who has a problem that requires compression. Lossless Compression Handbook is a must read for all professionals who are working in the field of image coding such as JPEG Each chapter has numerous references that help the reader to explore more about topics of interest.
Another interesting feature is that authors of individual chapters provide a note on how to go further on a particular topic at the end of the chapter. Pseudocode listing in most of the chapters enables quicker understanding and implements various algorithms discussed. Overall, this book is a wonderful introduction and a handy reference to the topic of lossless compression.
I recommend this book in the library of every working individual who is working in this area of lossless compression. His research interests include data compression, joint source channel coding, and bioinformatics. We are always looking for ways to improve customer experience on Elsevier. We would like to ask you for a moment of your time to fill in a short questionnaire, at the end of your visit.
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Thanks in advance for your time. These chapters discuss basic, advanced, and robust variable-length codes. Section 2. Section 3.
Section 5. These are older bitmaps fonts that were developed as part of the huge TEX project.
PAQ Section 5. Section 6. It is the result of evaluating and comparing several data structures and variable-length codes with an eye to improving the performance of LZSS. SLH, the topic of Section 6. LZPP is a modern, sophisticated algorithm that extends LZSS in several directions and has been inspired by research done and experience gained by many workers in the s.
The major innovation of LZT is the way it handles a full dictionary. It stores in its dictionary, which can be viewed either as a multiway tree or as a forest, every phrase found in the input.
If a phrase is found n times in the input, only one copy is stored in the dictionary. The interesting, original concept of antidictionary is the topic of Section 6. A dictionary-based encoder maintains a list of bits and pieces of the data and employs this list to compress the data. An antidictionary method, on the other hand, maintains a list of strings that do not appear in the data. This generates negative knowledge that allows the encoder to predict with certainty the values of many bits and thus to drop those bits from the output, thereby achieving compression.
Section 7. A short historical overview of video compression is provided in Section 9. The all-important H. This extension is the topic of Section 9. The complex and promising VC-1 video codec is the topic of the new, long Section 9. The new Section The methods and algorithms it employs are proprietary, but some information exists in various patents. There is now a short appendix that presents and explains the basic concepts and terms of information theory.
They sent information, reviewed certain sections, made useful comments and suggestions, and corrected numerous errors.
A special mention goes to David Bryant who wrote Section We are therefore indebted to our editor, Wayne Wheeler, for proposing this project and providing the encouragement and motivation to see it through.
URLs are notoriously short lived, so search the Internet. David Salomon Giovanni Motta The preface is usually that part of a book which can most safely be omitted.
I was pleasantly surprised when in November a message arrived from Wayne Wheeler, the new computer science editor of Springer Verlag, notifying me that he intends to qualify this book as a Springer major reference work MRW , thereby releasing past restrictions on page counts, freeing me from the constraint of having to compress my style, and making it possible to include important and interesting data compression methods that were either ignored or mentioned in passing in previous editions.
These fascicles will represent my best attempt to write a comprehensive account, but computer science has grown to the point where I cannot hope to be an authority on all the material covered in these books.
ISBN LCCN unknown. It features a different chapter structure, much new material, and many small improvements. These chapters discuss basic, advanced, and robust variable-length codes. Many types of VL codes are known, they are used by many compression algorithms, have different properties, and are based on different principles.
The most-important types of VL codes are prefix codes and codes that include their own length. These codes represent compromises between the standard binary beta code and the Elias gamma codes.
These are older bitmaps fonts that were developed as part of the huge TeX project. The compression algorithm is not especially efficient, but it provides a rare example of run-length encoding RLE without the use of Huffman codes.