Quality assessment of images with multiple distortions based on phase congruency and gradient magnitude

doi:10.1016/j.image.2019.08.013

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	Quality assessment of images with multiple distortions based on phase congruency and gradient magnitude
	X.K.Miao; H.R.Chu; H.Liu; Y.Yang; X.L.Li
刊名	Signal Processing-Image Communication
	2019
卷号	79 页码:54-62
关键词	No-reference,Image quality assessment,Phase congruency,Local binary,pattern,Image gradient,statistics,similarity,Engineering
ISSN号	0923-5965
DOI	10.1016/j.image.2019.08.013
英文摘要	In image communication systems, images are often contaminated by multiple types of distortions. However, most existing image quality assessment (IQA) methods mainly focused on a single type of distortions. In this paper, we proposed a no-reference (NR) IQA method for images with multiple distortions. Image distortions not only destroy the intensity of low-level image features, but also alter their distribution, to both of which the human vision system (HVS) is sensitive. Based on these observations, low-level features are represented by phase congruency (PC) which is consistent with human perception. The distribution of low-level features is extracted using local binary pattern (LBP) in PC domain at multiple scales, which can effectively characterize the impact of multiple distortions on images. Given that PC is contrast invariant while the contrast does affect perceptual image quality of the HVS, image gradient magnitude (GM) is employed as a weighting factor for LBP histogram creation. Finally a support vector regression model is trained to map the gradient-weighted LBP histograms in PC domain at multi-scale to quality scores. Experimental results on two benchmark databases demonstrate that the proposed method achieves high consistency with subjective perception and performs better than other state-of-the-art full-reference (FF) and NR IQA methods.
语种	英语
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/63133]
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	X.K.Miao,H.R.Chu,H.Liu,et al. Quality assessment of images with multiple distortions based on phase congruency and gradient magnitude[J]. Signal Processing-Image Communication,2019,79:54-62.
APA	X.K.Miao,H.R.Chu,H.Liu,Y.Yang,&X.L.Li.(2019).Quality assessment of images with multiple distortions based on phase congruency and gradient magnitude.Signal Processing-Image Communication,79,54-62.
MLA	X.K.Miao,et al."Quality assessment of images with multiple distortions based on phase congruency and gradient magnitude".Signal Processing-Image Communication 79(2019):54-62.