Image quality assessment based on local variance and structure similarity
Image quality assessment based on local variance and structure similarity
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发表时间：
2008
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通讯作者：
Wang Yong
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作者：
Wang Yong
为了克服结构相似性对不同畸变的敏感性不同的问题，提出了一种基于局部方差和结构相似性的图像质量评价方法（SSIM），通过比较两幅图像的局部方差分布更适合于评价细节结构相似性，该评估方法比SSIM对模糊等失真更敏感，但对噪声等失真不太敏感。该评估方法本文提出了一种局部方差分布和SSIM相结合的方法，该方法平衡了局部方差分布和SSIM对不同图像失真的敏感性，给出了与视觉质量相一致的合理结果，实验结果表明，该方法比SSIM更符合人眼视觉特性。
To overcome the unequal sensitivity to different distortion of structural similarity,(SSIM) a new image quality assessment method based on local variance and SSIM is presented.The comparison of the local variance distribution of two images is better suited to assess the detail structure similarity,which is more sensitive to some distortion such as blurring than SSIM but less sensitive to some distortion such as noise than SSIM.The assessment method proposed in this paper is a combination of local variance distribution and SSIM,which balances their different sensitivity to different image distortions and gives rational results that are consistent with visual quality.The experimental result shows that the method is better consistent with human visual characteristics than SSIM.