Compression Books
The following are several books on compression of various forms. These and the references contained within provide a wide variety of methods and applications.
- A. Gersho and R.M. Gray,
Vector Quantization and Signal Compression,
Kluwer, 1992.
- K. Sayood, Introduction to Data Compression, Morgan Kaufman, 1996.
- T.M. Cover and J.A. Thomas,
Elements of Information Theory,
Wiley, 1991.
(Excellent text on information theory,
including noiseless coding theory.)
- T.C. Bell, J.G. Cleary, and I.H. Witten,
Text Compression,
Prentice-Hall, 1990.
(Excellent reference on lossless compression algorithms.)
- H. Abut, ed.,
Vector Quantization,
IEEE Press, 1990.
(Collected papers on VQ through 1990.)
- N.S. Jayant and P. Noll,
Digital Coding of Waveforms,
Prentice-Hall, 1984.
(Old standby. Concentrates on various forms of scalar quantization.)
- W.B. Pennebaker and J.L. Mitchell,
JPEG: Still Image Data Comrpression Standard,
Van Nostrand Reinhold, 1993.
- R.M. Gray,
Source Coding Theory,
Kluwer, 1990.
(Shannon distortion-rate theory
and asymptotic quantization theory.)
- T. Berger,
Rate-Distortion Theory,
Prentice-Hall, 1971.
(The bible on rate-distortion theory.)
- R. Gallager,
Information Theory and Reliable Communication,
Wiley, 1968.
(The old standby on information theory,
including noiseless coding and rate-distortion theory.
Still a wonderful book.)
- R.M. Gray,
Entropy and Information Theory,
Springer-Verlag, 1990.
(The hard core mathematics of information theory, source and channel coding.)
- R. Veldhuis and M. Breeuwer,
An Introduction to Source Coding,
Prentice Hall, New York, 1993
- M. Rabbani and P. W. Jones,
Digital Image Compression Techniques,
SPIE Optical Engineering Press,
Bellingham, Washington, 1991.
- Y. Fisher, Ed. Fractal Image Compression: Theory and Application, Springer-Verlag, NY,
1995.
- M. Nelson, The Data Compression Book, M&T Books, NY, 1991.
- J.A. Storer, Data Compression - Methods and Theory,
Computer Science Press, NY, 1988.