A novel ray-space based color correction algorithm for multi-view video

In multi-view video, color inconsistency among different views always exists because of imperfect camera calibration, CCD noise, etc. Since color inconsistency greatly reduces the coding efficiency and rendering quality of multi-view video, a novel ray-space based color correction algorithm is proposed in this paper. Firstly, for each epipolar plane image (EPI) in ray-space domain, feature points are extracted to form a corresponding feature EPI (FEPI). Secondly, radon transform is applied to each FEPI to detect corresponding points from different views and the average color is calculated from the detected corresponding points. Finally, for each viewpoint image, the optimal color correction matrix is calculated by minimizing the error energy between the color of the current view and the average color based on the least square error criteria. Experimental results show that the proposed algorithm greatly improves the color consistency among different views. Moreover, the coding efficiency of the corrected multi-view images is greatly improved compared to that of the original ones and the ones corrected by histogram matching method.