A Perceptual Image Sharpness Metric Based on Local Edge Gradient Analysis

被引:96
作者
Feichtenhofer, Christoph [1 ]
Fassold, Hannes [2 ]
Schallauer, Peter [2 ]
机构
[1] Graz Univ Technol, Inst Elect Measurement & Measurement Signal Proc, A-8010 Graz, Austria
[2] Joanneum Res Digital, Inst Informat & Commun Technol, A-8010 Graz, Austria
关键词
Image blur; image quality assessment; image sharpness; no-reference; perceptual; sharpness metric; BLUR;
D O I
10.1109/LSP.2013.2248711
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this letter, a no-reference perceptual sharpness metric based on a statistical analysis of local edge gradients is presented. The method takes properties of the human visual system into account. Based on perceptual properties, a relationship between the extracted statistical features and the metric score is established to form a Perceptual Sharpness Index (PSI). A comparison with state-of-the-art metrics shows that the proposed method correlates highly with human perception and exhibits low computational complexity. In contrast to existing metrics, the PSI performs well for a wide range of blurriness and shows a high degree of invariance for different image contents.
引用
收藏
页码:379 / 382
页数:4
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