The Color Correction Algorithm of Multi-image Panoramic by the Feature Distribution of the Linear Transformation Invariance

In this paper, a color correction algorithm of multi-image panoramic by the feature distribution of the linear transformation invariance is proposed to solve the color inconsistency problem of the panoramic image. Firstly, the color correction parameters of adjacent images are obtained using the quality of histogram shape, the invariance of linear transformation, in the overlapping of adjacent images, then, the non-adjacent images’ color correction parameters are obtained by parameter passing. In order to get the panoramic image with color consistency and minish the error caused by parameter passing. The reference image is selected by constructing the measurement function of reference image and the parameter passing path is optimized by Single Source Shortest Path Algorithm. The experimental results show that the algorithm can enhance the color consistency of the multi-image panoramic and has good robustness to the illumination and viewpoint.