Image quality assessment based on phase congruency structural similarity
Qingbing Sang · Journal of Computer Applications · 2012
Concerning the poor image quality evaluation of Structural SIMilarity(SSIM) for blurred images and high texture images,this paper proposed a new algorithm for full reference image quality assessment based on phase congruency structural similarity.The new method kept luminance function and contrast function in SSIM,while replaced the structural function of SSIM with phase congruency function.Then the luminance,contrast and phase congruency information were combined to evaluate the image quality.The linear correlation coefficient and the Spearman rank correlation coefficient between the results of the proposed method on LIVE database and the subjective quality measurements were 0.950 1 and 0.936 2 respectively.The experimental results demonstrate that phase congruency obtains more structural information of the image.The proposed method can obtain better performances and provide more accurate assessment results on burred and high texture images quality.