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A New Spatial Hue Angle Metric for Perceptual Image Difference

机译:感知图像差异的新空间色相角度量

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Color image difference metrics have been proposed to find differences between an original image and a modified version of it. One of these metrics is the hue angle algorithm proposed by Hong and Luo in 2002. This metric does not take into account the spatial properties of the human visual system, and could therefore miscalculate the difference between an original image and a modified version of it. Because of this we propose a new color image difference metrics based on the hue angle algorithm that takes into account the spatial properties of the human visual system. The proposed metric, which we have named SHAME (Spatial Hue Angle MEtric), have been subjected to extensive testing. The results show improvement in performance compared to the original metric proposed by Hong and Luo.
机译:已经提出了彩色图像差异度量以发现原始图像和其修改版本之间的差异。这些度量标准之一是Hong和Luo在2002年提出的色相角算法。该度量标准没有考虑到人类视觉系统的空间特性,因此可能会错误地计算原始图像与其修改版本之间的差异。因此,我们基于色相角算法提出了一种新的彩色图像差异度量,该度量考虑了人类视觉系统的空间特性。提议的度量标准(我们已命名为SHAME(空间色相角度量标准))已经过广泛的测试。结果显示,与Hong和Luo提出的原始指标相比,性能有所提高。

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