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在光照条件差的情况下增强颜色恒常性。

Color constancy enhancement under poor illumination.

机构信息

School of Remote Sensing of Information and Engineering, Wuhan University, Wuhan, China.

出版信息

Opt Lett. 2011 Dec 15;36(24):4821-3. doi: 10.1364/OL.36.004821.

Abstract

In this Letter, the color constancy and its realization were studied and a novel color constancy image enhancement algorithm under poor illumination was presented. The purpose of this algorithm is to maintain the hue of an image during the processing so that the change of saturation can be minimized. The original image was first multiplied by a scale parameter obtained by the adaptive quadratic function to enhance the luminance, and then the edge details were restored by a shifting parameter. Numerical results of the Simon Fraser University (SFU) image database indicated that the proposed algorithm performed much better in preserving the hue and saturation and avoiding color distortion compared with the existing image enhancement algorithms.

摘要

在这封信件中,研究了颜色恒常性及其实现,并提出了一种在光照不良条件下的新型颜色恒常性图像增强算法。该算法的目的是在处理过程中保持图像的色调,使饱和度的变化最小化。首先,通过自适应二次函数获得的比例参数对原始图像进行乘法运算以增强亮度,然后通过移位参数恢复边缘细节。西蒙弗雷泽大学(SFU)图像数据库的数值结果表明,与现有的图像增强算法相比,所提出的算法在保持色调和饱和度以及避免颜色失真方面表现更好。

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