无色恒常性原理与CLC白平衡方法

White Balance Algorithm based on ColorLess Constancy

由于光在水中的吸收和散射,以及不同波长的光传播距离上的差异,水下图像严重受到对比度降低和颜色偏色的影响,因此色彩的白平衡校正是水下图像处理的一个关键技术。本文提出了一种新的无色恒常性原理(CLC:ColorLessConstancy)及白平衡方法。方法首先将彩色图像转换到YCbCr颜色空间实现亮色分离,然后通过非线性方法检测色度分量,计算每个像素对应的色度权重,然后根据新的线性加权算法重新计算每个像素的色度,实现对图像中无色区域的保护,以及对偏色区域的色彩校正。与几种经典白平衡方法进行比较,CLC方法克服了传统方法易对无色区域产生不良偏色的缺点,取得了较好的视觉感知效果。实验表明该算法复杂性低,鲁棒性好,说明了CLC白平衡算法的实用性,以及无色恒常性原理的科学性。

Due to the absorption and scattering of light in water,as well as the difference in the propagation distance of light of different wavelengths,the underwater image was seriously affected by the contrast reduction and color bias,so the white balance correction of color was a key technology of underwater image processing.In this paper,a new ColorLess Constancy principle(CLC)and a white balance method were proposed.Firstly,we converted color images to YCbCr color space to achieve bright color separation,and then tested chrominance component calculation by means of nonlinear color of each pixel corresponding weights,and then according to the new linear weighted algorithm,calculated the chromaticity of each pixel to realize the protection of the colorless region in the image and the color correction of the biased region.Compared with several classical white balance methods,CLC method overcame the disadvantages of traditional methods that tended to produce bad color bias in colorless areas and achieves better visual perception effect.The experiment shows that the algorithm has low complexity and good robustness,which indicates the practicability of CLC white balance algorithm and the scientificity of the principle of colorless constancy.