Gradient Based Selective Weighting of Neighboring Pixels for Predictive Lossless Image Coding (CROSBI ID 489405)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Knezović, Josip ; Kovač, Mario
engleski
Gradient Based Selective Weighting of Neighboring Pixels for Predictive Lossless Image Coding
Natural, continuous tone images have a very important property of high correlation of adjacent pixels. This property is cleverly exploited in lossless image compression where, prior to the statistical modeling and entropy coding step, predictive coding as decorrelation tool is used. The use of prediction for current pixel also reduces the model cost of applied statistical model for entropy coding. Linear prediction, where predicted value is linear function of previously encoded pixels (causal template), has proven to give very good results as a decorrelation tool in lossless image compression. In this work we concetrate on adaptive linear predictors used in lossless image coding and propose a new linear prediction method.
Lossless image coding; Predictive coding; Linear prediction; Gradient based prediction; Image compression
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Podaci o prilogu
483-488-x.
2003.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 25th International Conference on INFORMATION TECHNOLOGY INTERFACES, Cavtat, Croatia, June 16-19, 2003
Budin, Leo ; Lužar-Stiffler, Vesna ; Bekić, Zoran ; Hljuz Dobrić, Vesna
Zagreb: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce)
Podaci o skupu
25th International Conference on Information Technology Interfaces
predavanje
18.06.2003-19.06.2003
Cavtat, Hrvatska