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A Perceptual Image Sharpness Metric Based on Local Edge Gradient Analysis

机译:基于局部边缘梯度分析的感知图像清晰度度量

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摘要

In this letter, a no-reference perceptual sharpness metric based on a statistical analysis of local edge gradients is presented. The method takes properties of the human visual system into account. Based on perceptual properties, a relationship between the extracted statistical features and the metric score is established to form a Perceptual Sharpness Index (PSI). A comparison with state-of-the-art metrics shows that the proposed method correlates highly with human perception and exhibits low computational complexity. In contrast to existing metrics, the PSI performs well for a wide range of blurriness and shows a high degree of invariance for different image contents.
机译:在这封信中,提出了基于局部边缘梯度的统计分析的无参考感知清晰度。该方法考虑了人类视觉系统的特性。基于感知属性,在提取的统计特征和度量得分之间建立关系,以形成感知清晰度指数(PSI)。与最新指标的比较表明,该方法与人类感知高度相关,并且计算复杂度较低。与现有指标相比,PSI在较大的模糊范围内表现良好,并且对于不同的图像内容显示出高度的不变性。

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