Edge Strength Similarity for Image Quality Assessment

The objective image quality assessment aims to model the perceptual fidelity of semantic information between two images. In this letter, we assume that the semantic information of images is fully represented by edge-strength of each pixel and propose an edge-strength-similarity-based image quality m...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 20; no. 4; pp. 319 - 322
Main Authors Zhang, Xuande, Feng, Xiangchu, Wang, Weiwei, Xue, Wufeng
Format Journal Article
LanguageEnglish
Published IEEE 01.04.2013
Subjects
Edge-strength
Educational institutions
Image edge detection
Image quality
image quality assessment
Indexes
Measurement
regularity and irregularity
Semantics
Visualization
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Summary:The objective image quality assessment aims to model the perceptual fidelity of semantic information between two images. In this letter, we assume that the semantic information of images is fully represented by edge-strength of each pixel and propose an edge-strength-similarity-based image quality metric (ESSIM). Through investigating the characteristics of the edge in images, we define the edge-strength to take both anisotropic regularity and irregularity of the edge into account. The proposed ESSIM is considerably simple, however, it can achieve slightly better performance than the state-of-the-art image quality metrics as evaluated on six subject-rated image databases.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2013.2244081