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A Color Recovery Algorithm Based on Color Space Transformation

机译:一种基于色空间变换的彩色恢复算法

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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 X_LY_LZ_L, then transform the X_LY_LZ_L 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.
机译:相同的对象将在不同的照明下显示不同的颜色。提出了一种照明的独立颜色表示。首先,估计照明颜色,并将RGB多维数据集转换为颜色空间X_LY_LZ_L,然后将X_LY_LZ_L转换回RGB颜色空间。为了验证颜色校正算法的有效性,处理了在CIE发光体下进行的一组图像,被处理为黄偏置,以评估性能。原始图像被转换为​​CIE标准发光体D65下的图像。计算回收图像和标准图像的颜色差异以及原始图像和标准图像进行评估,以评估性能,实验结果表明,利用基于颜色空间变换的颜色校正算法,恢复图像的精度率提高了68.98%与原始图像相比。

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