NDLI: Visual saliency based structural contrast quality index

Content Provider	IET Digital Library
Author	Uddin, A. F. M. Shahab Chung, T. C. Bae, Sung Ho
Abstract	Studies on human visual systems (HVS) recommend that assessing the structural information change can provide a good approximation of the perceived image quality. Moreover, psychovisual studies have suggested that the HVS is more sensitive to the extraction of visual information in the salient regions rather than minor regions. Based on the above observations, this Letter proposes a novel full-reference image quality assessment metric called the visual saliency based structural contrast-quality index by the modification and adjustment of an image signature to incorporate into the structural contrast index (SCI) features, which can well depict the visual quality by considering the local and global visual quality perceptions for different types of structural distortions on the salient regions. The proposed method was tested on four world recognised databases and from the experimental result, it became apparent that the authors proposed method strongly correlates the subjective mean opinion scores and performs better than the existing state-of-the-art image quality assessment methods.
Starting Page	194
Ending Page	196
Page Count	3
ISSN	00135194
Volume Number	55
e-ISSN	1350911X
Issue Number	Issue 4, Feb (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/55/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2018.6435
Journal	Electronics Letters
Publisher Date	2019-01-08
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Approximation Theory Computer Vision And Image Processing Technique Full-reference Image Quality Assessment Metric Global Visual Quality Perceptions Human Visual System Image Enhancement Image Quality Image Quality Assessment Image Signature Interpolation And Function Approximation Numerical Analysis Optical, Image And Video Signal Processing Psychovisual Studies Structural Contrast Index Feature Structural Contrast Quality Index Structural Contrast-quality Index Visual Perception Visual Saliency
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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