一种基于多模式融合的多视点图像颜色校正方法

A Color Correction Method of Multi-view Images Based on Multi-mode Fusion

针对各种多视点成像系统中视点图像颜色不一致的问题,提出了一种基于多模式融合的多视点图像颜色校正方法。该方法通过定义四种通用的线性和非线性校正模式,首先对输入的源图像和参考图像进行视差估计,以视差估计得到的匹配块作为样本,然后对样本分别用四种校正模式进行训练,得到各种模式的校正参数,最后基于最小均方误差准则对各种校正模式进行融合,得到最终的校正图像。实验结果表明,该方法能实现参考图像与校正图像的最小均方根误差,且具有较好的校正效果。

In order to solve non-consistence color appearance between different viewpoint images in various imaging system, a color correction method of multi-view images based on multi-modes fusion was proposed. Four general linear and non-linear color correction modes were defined. Firstly, disparity estimation was performed between reference and source images. Then, by using the matching blocks as color matches, correction parameters for four modes could be determined. Finally, modes were fused by least-square error method to get the final corrected image. Experimental results show that the proposed method can achieve minimum root mean squared error between reference image and corrected image, and obtain good correction results.