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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| Published in | IEEE signal processing letters Vol. 20; no. 4; pp. 319 - 322 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
IEEE
01.04.2013
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Wang, Weiwei Feng, Xiangchu Zhang, Xuande Xue, Wufeng |
| Author_xml | – sequence: 1 givenname: Xuande surname: Zhang fullname: Zhang, Xuande email: love_truth@126.com organization: Department of Applied Mathematics, School of Science, Xidian University, Xi'an, China – sequence: 2 givenname: Xiangchu surname: Feng fullname: Feng, Xiangchu email: xcfeng@mail.xidian.edu.cn organization: Department of Applied Mathematics, School of Science, Xidian University, Xi'an, China – sequence: 3 givenname: Weiwei surname: Wang fullname: Wang, Weiwei email: wwwang@mail.xidian.edu.cn organization: Department of Applied Mathematics, School of Science, Xidian University, Xi'an, China – sequence: 4 givenname: Wufeng surname: Xue fullname: Xue, Wufeng email: x.wolfs@stu.xjt.edu.cn organization: Institute of Image Processing and Pattern Recognition, Xi'an Jiaotong University, Xi'an, China |
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| SubjectTerms | Edge-strength Educational institutions Image edge detection Image quality image quality assessment Indexes Measurement regularity and irregularity Semantics Visualization |
| Title | Edge Strength Similarity for Image Quality Assessment |
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