Entropy-based distortion measure for image coding

被引:7
|
作者
Andre, Thomas [1 ]
Antonini, Marc [1 ]
Barlaud, Michel [1 ]
Gray, Robert M. [2 ]
机构
[1] Univ Nice, CNRS, UMR 6070, I3S Lab, Bat Algorithmes-Euclide,2000 Route Lucioles Bp121, F-06903 Sophia Antipolis, France
[2] Stanford Univ, Dept Elect Engn, Informat Syst Lab, Stanford, CA 94305 USA
来源
2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS | 2006年
关键词
entropy; distortion; image coding;
D O I
10.1109/ICIP.2006.312762
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Classical quality criteria for image coding are based on the mean square error. We investigate here the properties of a distortion measure based on differential entropy of the error signal. The proposed measure leads to an interesting alternative code design criterion. An adapted bit allocation algorithm is proposed in order to take advantage of this criterion. Experimental results illustrate the behavior of the proposed distortion measure and exhibit interesting psycho-visual properties.
引用
收藏
页码:1157 / +
页数:2
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