Visual Horizontal Effect for Image Quality Assessment
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AbstractIn this paper, an image quality metric is proposed by modeling the visual Horizontal Effect (HE) and saliency property over structural distortions. Specifically, Structrue SIMilarity (SSIM) is firstly performed to obtain the structural distortion map. Subsequently, the obtained distortion map is refined by the visual HE model, which depicts visual sensitivities of oriented stimuli over different oriented contents. Finally, in order to describe the local Human Visual System (HVS) conspicuities, a saliency pooling strategy is proposed to generate the resulting image quality index. The experimental results have demonstrated that the proposed method outperforms SSIM and Visual Information Fidelity (VIF), which indicates that the obtained similarity index is more consistent with the perceptual evaluation of image quality.
All Author(s) ListMa L, Li SN, Ngan KN
Journal nameIEEE Signal Processing Letters
Year2010
Month7
Day1
Volume Number17
Issue Number7
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages627 - 630
ISSN1070-9908
eISSN1558-2361
LanguagesEnglish-United Kingdom
KeywordsHorizontal effect (HE); human visual system (HVS); image quality assessment (IQA); structure SIMilarity (SSIM)
Web of Science Subject CategoriesEngineering; Engineering, Electrical & Electronic; ENGINEERING, ELECTRICAL & ELECTRONIC

Last updated on 2020-27-11 at 00:16