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Using the Natural Scenes’ Edges for Assessing Image Quality Blindly and Efficiently
Joint Authors
Jiao, Shuhong
Abdalmajeed, Saifeldeen
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Two real blind/no-reference (NR) image quality assessment (IQA) algorithms in the spatial domain are developed.
To measure image quality, the introduced approach uses an unprecedented concept for gathering a set of novel features based on edges of natural scenes.
The enhanced sensitivity of the human eye to the information carried by edge and contour of an image supports this claim.
The effectiveness of the proposed technique in quantifying image quality has been studied.
The gathered features are formed using both Weibull distribution statistics and two sharpness functions to devise two separate NR IQA algorithms.
The presented algorithms do not need training on databases of human judgments or even prior knowledge about expected distortions, so they are real NR IQA algorithms.
In contrast to the most general no-reference IQA, the model used for this study is generic and has been created in such a way that it is not specified to any particular distortion type.
When testing the proposed algorithms on LIVE database, experiments show that they correlate well with subjective opinion scores.
They also show that the introduced methods significantly outperform the popular full-reference peak signal-to-noise ratio (PSNR) and the structural similarity (SSIM) methods.
Besides they outperform the recently developed NR natural image quality evaluator (NIQE) model.
American Psychological Association (APA)
Abdalmajeed, Saifeldeen& Jiao, Shuhong. 2015. Using the Natural Scenes’ Edges for Assessing Image Quality Blindly and Efficiently. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073716
Modern Language Association (MLA)
Abdalmajeed, Saifeldeen& Jiao, Shuhong. Using the Natural Scenes’ Edges for Assessing Image Quality Blindly and Efficiently. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1073716
American Medical Association (AMA)
Abdalmajeed, Saifeldeen& Jiao, Shuhong. Using the Natural Scenes’ Edges for Assessing Image Quality Blindly and Efficiently. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073716
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073716