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

Abstract

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.