A Statistical Reduced-Reference Approach to Digital Image Quality Assessment

被引：0
|
作者：
Okarma, Krzysztof [1 ]
Lech, Piotr [1 ]
机构：
[1] Tech Univ Szczecin, Fac Elect Engn, Chair Signal Proc & Multimedia Engn, PL-71126 Szczecin, Poland
来源：
COMPUTER VISION AND GRAPHICS | 2009年 / 5337卷
关键词：
image quality assessment; Monte Carlo method; statistical image analysis;
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 a fast method of the digital image quality estimation is proposed. Our approach is based on the Monte Carlo method applied for some classical and modern full-reference image quality assessment methods, such as Structural Similarity and SVD-based measure. Obtained results are compared to the effects achieved using the full analysis techniques. Significant reduction of the number of analysed pixels or blocks leads to fast and efficient estimation of image quality especially in low performance systems where the processing speed is much more important than the accuracy of the quality assessment.
引用
收藏
页码：43 / 54
页数：12
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