Paths to Future Image Lossless Coding

被引：0

作者：

Ulacha, Grzegorz ^{[1
]}

Stasinski, Ryszard ^{[2
]}

机构：

[1] West Pomeranian Univ Technol, Dept Comp Sci, Szczecin, Poland

[2] Poznan Univ Tech, Fac Elect & Commun, Poznan, Poland

来源：

PROCEEDINGS ELMAR-2012 | 2012年

关键词：

Lossless Image Coding; MMSE; MMAE; Minkowski distance; Adaptive Predictors; Predictor Blending;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the paper introduction of non-MMSE (minimum mean square error) based predictor optimization techniques to adaptive lossless image compression is considered. The proposed cost function is Minkowski distance, being generalization of MMSE and MMAE (minimum mean absolute error). It is proven empirically and explained why MMSE criterion is suboptimal. Then, currently the best lossless image coding methods are outlined (AVE-WLS, Blend-20), and introduction of new criteria to their definitions discussed.

引用

页码：63 / 66

页数：4

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