Technology of Graphic & Image
|
2549-2555

No-reference quality evaluation algorithm for gamut mapping images based on color and structural distortions

Yu Wei1
Kang Kai2
Yuan Lianhai1
1. Dept. of Electronic Information & Computer Engineering, the Engineering & Technical College of Chengdu University of Technology, Leshan Sichuan 614000, China
2. School of Information & Control Engineering, China University of Mining & Technology, Xuzhou Jiangsu 221116, China

Abstract

In order to objectively predict the quality of gamut mapping images, this paper analyzed the mapping principles of different gamut mapping algorithms and found that there were mainly color and structural distortions in gamut mapping images. Based on this, this paper presented a no-reference quality metric for gamut mapping images based on color and structural distortions. For color distortion, this paper calculated the rate of abnormal hue and the Kullback-Leibler divergence between the statistical distribution of the three components of the image(e. g., R, G, and B) and the ideal uniform distribution. In terms of structural distortion, it extracted the entropy and the fourth-order moments, and extracted statistical features in brightness and saturation components. Subsequently, combined with the subjective scores and extracted features, it used the back propagation neural network(BPNN) to train the quality prediction model. Finally, this paper employed the model to evaluate the quality of gamut mapping images. Extensive experiments conducted on three gamut mapping databases prove the proposed method is superior to the existing quality evaluation models in evaluating the quality of gamut mapping images.

Foundation Support

院级基金项目(C12I02007)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.09.0421
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 8
Section: Technology of Graphic & Image
Pages: 2549-2555
Serial Number: 1001-3695(2021)08-056-2549-07

Publish History

[2021-08-05] Printed Article

Cite This Article

余伟, 康凯, 袁连海. 基于颜色与结构失真的色域映射图像无参考质量评价算法 [J]. 计算机应用研究, 2021, 38 (8): 2549-2555. (Yu Wei, Kang Kai, Yuan Lianhai. No-reference quality evaluation algorithm for gamut mapping images based on color and structural distortions [J]. Application Research of Computers, 2021, 38 (8): 2549-2555. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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