Title :
An algorithmic study on lossless image compression
Author_Institution :
Dept. of Comput. Sci., Univ. of Western Ontario, London, Ont., Canada
Abstract :
The author discusses how to reduce model complexity for improving both coding and computational efficiency. Some of the topics discussed are: prediction via context error modeling, context selection for entropy coding, context hierarchy and selection and performance evaluation
Keywords :
data compression; entropy codes; image coding; image reconstruction; prediction theory; algorithmic study; computational efficiency; context error modeling; context hierarchy; context selection; entropy coding; image reconstruction; lossless image compression; model complexity; performance evaluation; prediction; selection; Biomedical imaging; Codecs; Computer graphics; Context modeling; ISO standards; Image coding; Image reconstruction; Proposals; Satellites; Transform coding;
Conference_Titel :
Data Compression Conference, 1996. DCC '96. Proceedings
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-7358-3
DOI :
10.1109/DCC.1996.488320
