基于暗通道先验改进的自动色彩均衡算法

针对自动色彩均衡算法在处理色彩丰富度低的低色温图像造成的色温偏高问题,提出了一种基于暗通道先验改进的自动色彩均衡算法。该算法首先对原始图像利用暗通道先验算法及导向滤波进行预处理得到精细透射率图像,然后按照阈值范围提取有效范围点区域得到二值图像,进而求得色温增益因子,最后对自动色彩均衡算法中的色彩域/空域步骤进行优化,完成图像的色温校正。实验结果表明,该算法有效解决了自动色彩均衡算法产生的图像偏色问题,具有良好的色温校正效果。

Automatic Color Equalization Algorithm Based on Dark Channel Prior Improvement

Aiming at the problem of high color temperature caused by automatic color equalization algorithm in dealing with low color temperature images with low color richness, an automatic color equalization algorithm based on dark channel prior improvement is proposed. The algorithm firstly preprocesses the original image using the dark channel prior algorithm and the guided filter to obtain the fine transmittance image, then extracts the effective range point region according to the threshold range to obtain the binary image, and then obtains the color temperature gain factor, and finally the automatic color equalization. The color field/airspace steps in the algorithm are optimized to complete the color temperature correction of the image. The experimental results show that the algorithm effectively solves the image color cast problem generated by the automatic color equalization algorithm and has a good color temperature correction effect.