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

来源：

IEEE SIGNAL PROCESSING LETTERS | 2013年 / 20卷 / 04期

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

页码：379 / 382

页数：4

共 19 条

[1]

[Anonymous], IEEE INT C AC SPEECH

[2] A No-Reference Objective Image Sharpness Metric Based on the Notion of Just Noticeable Blur (JNB) [J].