Content‐based image quality assessment using semantic information and luminance differences. Issue 20 (1st September 2014)

• Record Type: Journal Article
• Authors: Qi, Huan; Jiao, Shuhong; Lin, Weisi; Tang, Lin; Shen, Weihe
• Is Part Of: Electronics letters. Volume 50:Issue 20(2014)
• Page Start: 1435
• Page End: 1436
• Publication Date: 2014-09-01
• Subjects: brightness -- image processing; content‐based image quality assessment -- semantic information -- luminance differences -- full‐reference image quality assessment metric -- FR‐IQA -- semantic information changes -- image content areas -- edge information -- edge changes -- luminance changes -- image visual quality -- perceptual quality metric -- human judgments -- distortion types; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2014.1651
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : A full‐reference image quality assessment (FR‐IQA) metric, with emphasis on semantic information changes in different image content areas, is presented. The changes on edge information, that can represent semantic information changes, are calculated based on the characteristics of different image content areas. Considering that edge changes cannot account for luminance changes while luminance changes does affect visual quality of images, the luminance changes are also incorporated into the design of the perceptual quality metric. Experimental results confirm that the proposed metric is consistent with human judgments of quality, and outperforms relevant state‐of‐the‐art metrics across various distortion types.