A Color Recovery Algorithm Based on Color Space Transformation

Yejing Cai, Yonghong Long, Haixia Luo
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Abstract

The same object will show different colors under different illumination. An illuminant-independ color representation were proposed. Firstly, estimate the illumination color, and transform the RGB cube to a color space XLYLZL, then transform the XLYLZL back to RGB color space. To verify the effectiveness of color correction algorithm, a set of images taken under CIE A illuminant which are yellow-biased were processed to evaluate the performance. The original images were transformed to images under the CIE Standard Illuminant D65. Color difference of recovered image and standard image as well as original images and standard image were calculated to evaluate the performance, the experimental results show that with the color correction algorithm based on color space transformation, the accuracy rate of the recovered image improved by 68.98% compared with the original image.
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一种基于色彩空间变换的色彩恢复算法
同一物体在不同的光照下呈现出不同的颜色。提出了一种与光源无关的颜色表示方法。首先估算照明颜色,将RGB立方体变换为色彩空间XLYLZL,然后将XLYLZL变换回RGB色彩空间。为了验证颜色校正算法的有效性,对一组在CIE a光源下拍摄的偏黄图像进行了处理,以评估其性能。将原始图像转换为CIE标准光源D65下的图像。通过计算恢复图像与标准图像以及原始图像与标准图像的色差来评价其性能,实验结果表明,采用基于色彩空间变换的颜色校正算法,恢复图像的准确率比原始图像提高了68.98%。
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