关键词: 图像质量, 评价, 结构相似度, 基于梯度的结构相似度, 人眼视觉系统

Abstract:

Although the SSIM (Structural Similarity)model,an assessment model of image quality based on the structural information,has been proved to be better than the PSNR(Peak Signal to Noise Ratio)or the MSE(Mean Square Error)model,there still remain some deficiencies in assessing badly blured images.In order to solve this prob-lem,this paper proposes a gradient-based structural similarity(GSSIM)model that takes the gradient as the main strut-tural information of an image.Experimental results show that the proposed GSSIM model is more consistent with human visual system and can assess the quality of blured images more precisely than the SSIM and PSNR (MSE)models.

Key words: image quality, assessment, structural similarity, gradient-based structural similarity, human visual system