Color Distortion and Edge Feature for Perceptual Quality Assessment

被引：0
|
作者：
Zeggari, Ahmed [1 ]
Seghir, Zianou Ahmed [2 ]
Hemam, Mounir [2 ]
Hachouf, Fella [3 ]
Djezzar, Meriem [4 ,5 ]
机构：
[1] Univ Tebessa, Math & Comp Sci Dept, Tebessa, Algeria
[2] Khenchela Univ, ICOSI Lab, BP 1252 El Houria, Khenchela 40004, Algeria
[3] Mentouri Constantine Univ, Automat & Robot Lab, Constantine, Algeria
[4] Univ Abbes Laghrour, Khenchela, Algeria
[5] Constantine 2 Abdelhamid Mehri Univ, LIRE Lab, Constantine, Algeria
来源：
INFORMATICA-AN INTERNATIONAL JOURNAL OF COMPUTING AND INFORMATICS | 2022年 / 46卷 / 06期
关键词：
gradient similarity; color distortion; Ruderman operator; distorted pixel measure; STRUCTURAL SIMILARITY; REGION INFORMATION; IMAGE; PIXEL; MULTISCALE;
D O I：
10.31449/inf.v46i6.3953
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
The color distortion effect has an important impact on the perceived quality, which is ignored in previous related works. Unified with the color distortion outcome and edge similarity, a new full-reference image quality assessment was proposed named the gradient similarity-based distorted pixel and deformed color measure (GDCM). The components RGB of the color image are converted into image coded in YIQ color space. Then, Ruderman operators and the gradient images are calculated from the Y component. I and Q elements are used to identify the color distortion. Finally, the previous results are combined to compute the ultimate measure. Experimental results on databases illustrate that the GDCM performs very well.
引用
收藏
页码：53 / 65
页数：13
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