Title :
An efficient lossless image compression scheme based on a 2-D predictive model and a new contextual source coder
Author :
Das, M. ; Anand, J.
Author_Institution :
Dept. of Electr. & Syst. Eng., Oakland Univ., Rochester, MI, USA
Abstract :
This paper presents a new lossless image compression scheme that is based on the combination of a two-dimensional predictive image model with a new contextual Huffman coder. The results of extensive simulation tests indicate that the proposed method delivers significantly better performance than other methods considered
Keywords :
Huffman codes; data compression; image coding; prediction theory; 2D predictive model; Huffman coder; contextual source coder; lossless image compression scheme; simulation tests; Automotive engineering; Context modeling; Decorrelation; Entropy; Image coding; Parameter estimation; Predictive models; Source coding; Testing; Two dimensional displays;
Conference_Titel :
Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on
Conference_Location :
Sacramento, CA
Print_ISBN :
0-7803-3694-1
DOI :
10.1109/MWSCAS.1997.662223
