Low complexity image correction using color and focus matching for stereo video coding

In three-dimensional video (3DV), two cameras capture the same scene from different viewpoints. Color and focus variations between the camera views may deteriorate the 3DV quality and performance of 3DV coding. Therefore, we need to correct the color and focus discrepancy between the camera views. In this paper, we propose algorithms that color and focus correction are combined in a preprocessing step of the stereo video coding. For both color and focus matching, we calculate only disparity vector (DV) once during disparity estimation (DE), since the proposed color and focus correction algorithm can share the disparity vector. The experimental results show that the proposed color and focus correction algorithm provides better image quality and coding performance.