The need to efficiently store, manipulate, and transmit large masses of information is growing more rapidly than the capacity of systems to handle it. Engineers and computer scientists need a solid understanding of compression in order to work with the burgeoning variety of data types and increasingly data-intensive applications. This uniquely comprehensive book explains the fundamental theories and techniques of data compression, with the most complete coverage available of both lossy and lossless methods. Rather than simply describing current approaches, Sayood explains the theoretical underpinnings of the algorithms so that readers learn how to model structures in data and design compression packages of their own. Practitioners, researchers, and students will benefit from the balanced presentation of theoretical material and implementations. Features: Covers both lossy and lossless compression techniques with applications to image, speech, text, audio, and video compression. Official compression standards for video, audio, text, and facsimile are discussed in order to illustrate the techniques: includes JPEG, MPEG, G.728, H.261, and Group 3 and 4 fax standards. Detailed examples follow each new concept or algorithm. Software implementations and sample data sets are available, allowing readers to work through the examples in the book and to experiment with various compression techniques on their own. Optional starred sections provide enhanced technical or theoretical discussions. Appendices on probability theory, random processes, and matrix concepts are included for reference.
Book Description
Editorial Reviews
Amazon.com Review
Khalid Sayood's textbook-style Introduction to Data Compression is the definitive guide to all kinds of compression schemes. Early chapters establish the mathematics involved in basic compression techniques, including lossless and lossy compression as well as the fundamentals of information theory that lay the groundwork for common forms of compression. (The book contains all the relevant formulas, although those who don't need such mathematical detail will still be able to understand the book.)
A good portion of the book examines various compression schemes, their strengths and weaknesses, and what content they work best for. Introduction to Data Compression begins with lossless compression schemes, which lose no information during the compression/decompression process. Huffman Coding, a well-established compression scheme, and arithmetic and dictionary coding also receive excellent treatment. In addition, the author takes on lossless compression for images.
For lossy compression, Sayood discusses schemes that use quantization, where a range of values is compressed in some way. He also describes scalar, vector, and differential encoding and fractal compression. A final chapter looks at video encryption (which often combines techniques from earlier chapters). Many of the compression schemes include examples from image and sound files, but the book considers a wide variety of video schemes too. This rich and confidently written text collates a lot of research and can serve as both textbook and source for designers who need a readable and mathematically solid introduction to data compression.
Review
The need to efficiently store, manipulate, and transmit large masses of information is growing more rapidly than the capacity of systems to handle it. Engineers and computer scientists need a solid understanding of compression in order to work with the burgeoning variety of data types and increasingly data-intensive applications. This uniquely comprehensive book explains the fundamental theories and techniques of data compression, with the most complete coverage available of both lossy and lossless methods. Rather than simply describing current approaches, Sayood explains the theoretical underpinnings of the algorithms so that readers learn how to model structures in data and design compression packages of their own. Practitioners, researchers, and students will benefit from the balanced presentation of theoretical material and implementations.
Features:
* Covers both lossy and lossless compression techniques with applications to image, speech, text, audio, and video compression.
* Official compression standards for video, audio, text, and facsimile are discussed in order to illustrate the techniques: includes JPEG, MPEG, G.728, H.261, and Group 3 and 4 fax standards.
* Detailed examples follow each new concept or algorithm.
* Software implementations and sample data sets are available, allowing readers to work through the examples in the book and to experiment with various compression techniques on their own.
* Optional starred sections provide enhanced technical or theoretical discussions.
* Appendices on probability theory, random processes, and matrix concepts are included for reference. -- Book Description
Product Details
Would you like to update product info or give feedback on images?
|
Customer Reviews
|
Share your thoughts with other customers:
|
||||||||||||||||||||||
|
Most Helpful Customer Reviews
6 of 8 people found the following review helpful:
5.0 out of 5 stars
Detailed, need mathematical knowledge, clearly explained.,
By skim35@starnetinc.com (IL, USA.) - See all my reviews
This review is from: Introduction to Data Compression (Morgan Kaufmann Series in Multimedia Information and Systems) (Hardcover)
This book very detailed. Strong mathematical skill is recommanded, but it is not an requirement. The author walks you through data compression algorithms step by step.
5 of 7 people found the following review helpful:
5.0 out of 5 stars
Math heavy, maybe that's why I loved it,
By
This review is from: Introduction to Data Compression (Morgan Kaufmann Series in Multimedia Information and Systems) (Hardcover)
This book was very math intensive on one hand, though on the other hand the pictorial descriptions of compression algorithms made it easy to flip through the book and decide which algorithms were applicable for you. All in all, a great book.
Share your thoughts with other customers: Create your own review
|
|
What Other Items Do Customers Buy After Viewing This Item?
Suggested Tags from Similar Products(What's this?)Be the first one to add a relevant tag (keyword that's strongly related to this product).
|
Sell a Digital Version of This Book in the Kindle Store
If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store.
Learn more
