基于灰度边缘颜色常数的计算方法研究

Xinyu Sun, K. Xie, Sen Lin, Ao Yang, Hongbo Zhao
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引用次数: 0

摘要

在灰色边缘假设的基础上,进一步考虑图像边缘信息和高频噪声对颜色估计的影响,提出了一种基于灰色边缘算法的颜色恒常性计算方法。本文使用的是Shi-gehler数据集,由于原始数据集中的色卡会影响图像的校正,因此将数据集中的色卡设置为黑色,使得实验结果更加准确。为了保证对高频噪声的抑制,将高斯滤波器替换为双边滤波器来估计照明色度,并使用von kries对角变换模型对颜色偏差图像进行校正。实验结果表明,该策略提高了照度估计的精度和颜色恒常性的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Calculation Method Based on Gray Edge Color Constant
On the basis of gray edge hypothesis, further considering the influence of image edge information and high frequency noise on light color estimation, a color constancy calculation method based on gray edge algorithm is proposed. In this paper, Shi-gehler data set is used, because the color card in the original data set will affect the image correction, so the color card in the data set is set black, making the experimental results more accurate. In order to ensure the suppression of high-frequency noise, the Gaussian filter is replaced by the bilateral filter to estimate the illumination chroma, and the von kries diagonal transformation model is used to correct the color deviation image. The experimental results show that the strategy improves the accuracy of illumination estimation and the effect of color constancy.
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