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Using Color Difference Equations for Calculating Gradient Images

机译:使用色差方程计算梯度图像

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Recent studies have pointed out to properties such as self-similarity, complexity, and anisotropy as some of the universal characteristics seen in aesthetic paintings. New measures for evaluating the mentioned properties in images were introduced based on the Pyramid Histogram of Gradients (PHOG) features. It is clear that an influential step in calculating PHOG features is how the gradient image is calculated. While such calculations seem straightforward for greyscale images the same could not be said for color images. In this paper, we use color difference equations to propose a new method to calculate the gradient of a color image. Such approach seems a good option to point out the color difference between two patches from a standard observer. Results show that compared to previous methods, the proposed approach gives comparable results. Keeping in mind that color difference equations are specifically proposed to evaluate color difference it seems suitable to use the proposed approach for future color image gradient calculations.
机译:最近的研究指出了诸如自相似性,复杂性和各向异性之类的特性,这是美学绘画中所见到的一些普遍特征。基于金字塔直方图(PHOG)特征,引入了用于评估图像中提到的属性的新方法。显然,计算PHOG特征的一个重要步骤是如何计算梯度图像。尽管这样的计算对于灰度图像来说似乎很简单,但对于彩色图像却不能说相同。在本文中,我们使用色差方程提出了一种计算彩色图像梯度的新方法。这种方法似乎是从标准观察者指出两个色块之间的色差的好选择。结果表明,与以前的方法相比,该方法给出了可比的结果。请记住,专门提出了色差方程式来评估色差,似乎可以将提议的方法用于将来的彩色图像梯度计算。

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