TY - GEN
T1 - A novel ray-space based color correction algorithm for multi-view video
AU - Hou, Ling
AU - Au, Oscar C.
AU - Fan, Xiaopeng
AU - Ma, Mengyao
PY - 2009
Y1 - 2009
N2 - 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 [1].
AB - 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 [1].
UR - https://www.scopus.com/pages/publications/70350162430
U2 - 10.1109/ISCAS.2009.5118279
DO - 10.1109/ISCAS.2009.5118279
M3 - 会议稿件
AN - SCOPUS:70350162430
SN - 9781424438280
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 2381
EP - 2384
BT - 2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
T2 - 2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Y2 - 24 May 2009 through 27 May 2009
ER -