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A no-reference perceptual image sharpness metric based on a cumulative probability of blur detection

机译:基于模糊检测累积概率的无引用感知图像清晰度度量

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In this paper, a no-reference objective sharpness metric based on a cumulative probability of blur detection is proposed. The metric is evaluated by taking into account the human visual system (HVS) response to blur distortions. The perceptual significance of the metric is validated through subjective experiments. It is shown that the proposed metric results in a very good correlation with subjective scores especially for images with varying foreground and background perceived blur qualities. This is accomplished with a significantly lower computational complexity as compared to existing methods that take into account the visual attention information.
机译:本文提出了一种基于模糊检测累积概率的无参考物镜锐度度量。通过考虑对模糊扭曲的人类视觉系统(HVS)响应来评估度量。通过主观实验验证了指标的感知重要性。结果表明,所提出的度量结果导致与具有不同前景的图像和背景感知的模糊素质的图像非常好。与考虑视觉注意信息的现有方法相比,这是通过显着降低的计算复杂性来实现的。

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