Quantization method for image data compression employing context modeling algorithm

作者: Jorma Johannes Rissanen , Gilbert Furlan

DOI:

关键词:

摘要: A method, system, and manufacture are provided, for use in connection with data processing compression, quantizing a string of values, such as image pixel values. The quantization is achieved by grouping the based on their into predetermined number categories, each category containing same total For category, value, preferably mean value those selected value. All values arc then represented strings having dependency (that is, one or more provide information about other values), modeled method which modeling algorithm defines contexts terms tree structure, basic categories selecting performed per node (i.e., context) basis.

参考文章(21)
Jorma J. Rissanen, Kottappuram M. A. Mohiuddin, Multiplication-free multi-alphabet arithmetic code ,(1986)
Nuggehally Sampath Jayant, Christine Irene Podilchuk, Geometric vector quantization ,(1991)
William R. Zettler, John C. Huffman, Johnathan D. Devine, Philippe M. Cassereau, Method and apparatus for coding motion pictures ,(1991)
D. Messerschmitt, Quantizing for maximum output entropy (Corresp.) IEEE Transactions on Information Theory. ,vol. 17, pp. 612- 612 ,(1971) , 10.1109/TIT.1971.1054681
P.H. Ang, P.A. Ruetz, D. Auld, Video compression makes big gains IEEE Spectrum. ,vol. 28, pp. 16- 19 ,(1991) , 10.1109/6.90209
J. Rissanen, A universal data compression system IEEE Transactions on Information Theory. ,vol. 29, pp. 656- 664 ,(1983) , 10.1109/TIT.1983.1056741