基于视觉注意和相位一致性的全参考图像质量评价方法

IF 3.7 2区工程技术 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Displays Pub Date : 2025-04-26 DOI:10.1016/j.displa.2025.103060

Fan Zhang , Xinhong Zhang

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引用次数: 0

摘要

人类视觉系统（HVS）在感知图像质量时更多地关注高显着区域。人眼非常重视图像的结构变化，而图像的结构变化程度可以通过相位一致性来反映。提出了一种基于多特征融合的全参考图像质量评价方法PCHSIVS。利用相位一致性相似度、视觉显著性相似度和色度相似度生成图像质量分数，并用视觉显著性图对生成的图像质量分数进行加权。实验结果表明，PCHSIVS方法更符合人类视觉感知的特征。

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A full-reference image quality assessment method based on visual attention and phase consistency

Human Visual System (HVS) focuses more attention on areas of high salience when perceiving image quality. The human eye attaches great importance to the structural change of the image, and the degree of structural change of the image can be reflected by the phase consistency. This paper proposes a full-reference image quality assessment method PCHSIVS based on multi-feature fusion. The phase consistency similarity, visual significance similarity and chrominance similarity are used to generate image quality scores, and the generated image quality scores are weighted by visual significance maps. The experimental results show that the PCHSIVS method is more consistent with the characteristics of human visual perception.

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来源期刊

Displays 工程技术-工程：电子与电气

CiteScore

4.60

自引率

25.60%

发文量

138

审稿时长

92 days

期刊介绍： Displays is the international journal covering the research and development of display technology, its effective presentation and perception of information, and applications and systems including display-human interface. Technical papers on practical developments in Displays technology provide an effective channel to promote greater understanding and cross-fertilization across the diverse disciplines of the Displays community. Original research papers solving ergonomics issues at the display-human interface advance effective presentation of information. Tutorial papers covering fundamentals intended for display technologies and human factor engineers new to the field will also occasionally featured.