Title :
Highly effective predictor blending method for lossless image coding
Author :
Ulacha, Grzegorz ; Stasinski, Ryszard
Author_Institution :
Fac. of Comput. Sci. & Inf. Syst., West Pomeranian Univ. of Technol., Szczecin, Poland
Abstract :
A fast and effective predictor blending method is described in the paper. The special set of 17 blended predictors is defined, including GAP+, and (novel) texture context mapping one. An advanced error bias removal method is applied to some subpredictors. A sophisticated adaptive context arithmetic coder forms the final stage of the algorithm. Experimental results show that indeed, for considered execution times (few seconds for Lennagrey image) the presented technique is better than other state-of-the-art methods.
Keywords :
adaptive codes; arithmetic codes; image coding; image texture; mathematical analysis; GAP+; Lennagrey image; adaptive context arithmetic coder; advanced error bias removal method; lossless image coding; predictor blending method; subpredictors; texture context mapping; Arithmetic; Computer errors; Computer science; Context; Entropy; Image coding; Information systems; Materials requirements planning; Mutual information; Paper technology;
Conference_Titel :
MELECON 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference
Conference_Location :
Valletta
Print_ISBN :
978-1-4244-5793-9
DOI :
10.1109/MELCON.2010.5476357