基于颜色属性相关性的图像色差公式的研究

CIE 色差公式不适合用于复杂图像对间色差预测,为更准确地评价再现图像与原稿之间的颜色差别,提出了一个基于颜色属性相关性的图像色差计算算法。算法的图像色差的计算,采用对比度敏感度函数(CSF)去除图像内容中视觉难以觉察的信息,降低图像内容的空间复杂性,通过对图像对间颜色三属性的相关性分析,确定各色彩属性差的权重。心理物理实验证实,色差公式计算值与主观评价的评分是一致的,表明该算法可用于评价图像对间的颜色差别,也可用于评价压缩方式、图像增强算法以及色域映射算法等的性能。

Image Color Difference Formula Based on Correlation of Color Attribute

The CIE color difference formula is not suitable for predicting color difference between complex images. In order to quantify color differences between the original and reproduction, an image difference algorithm based on correlation of image attribute was put forward. The formula used the Contrast Sensitivity Functions (CSF) to reduce the spatial complexity. The CSF was used to remove information that is imperceptible to the visual system. The algorithm determined the color attribute weights by means of correlation analysis between image pairs. Psychophysical experiments confirmed that the metric correlates strongly with human perception. It was concluded that the algorithm can be used to assess the performance of color image compression, color image enhancement algorithms, gamut mapping algorithms and so on.