Title :
New simple context-based predictive technique for lossless image compression
Author :
Ulacha, G. ; Stasinski, R.
Author_Institution :
Dept. of Comput. Sci., Szczecin Univ. of Technol., Szczecin, Poland
Abstract :
An efficient and simple context-based data modelling technique for lossless image compression is described in the paper. Similarly as preprocessing stage of JPEG-LS, it uses only 3 contexts, which makes it time-efficient, and does not force the message headers to be long. Enhanced, but more computationally complex versions of the method are also analyzed. Extensive experiments show that indeed, the new technique is clearly better from data compression point of view than the preprocessing stage of JPEG-LS, while its computational complexity is approximately the same.
Keywords :
computational complexity; data compression; image coding; JPEG-LS preprocessing stage; computational complexity; context-based data modelling technique; context-based predictive technique; data compression; lossless image compression; Context; Data models; Entropy; Image coding; Optimization; Signal processing; Signal processing algorithms;
Conference_Titel :
Signal Processing Conference, 2007 15th European
Conference_Location :
Poznan
Print_ISBN :
978-839-2134-04-6