Description

Visually Consistent Color Correction for Stereoscopic Images and Videos

In this project,In stereoscopic 3D (S3D) color correction, visual inconsistency is a common problem in images and videos. In this project, we propose an S3D image/video color correction strategy that is global, local, and temporal color discrepancies simultaneously. We achieve the image-based S3D color correction by three steps: a coarse-grain color correction for global color matching, a fine-grain color correction and both global and local color consistencies, and a guided filtering process to guarantee the structural consistency before and after color correction. In addition, we extend the above strategy to S3D and multiview video color correction. To achieve temporal consistency between successive video frames, we develop an improved histogram matching within a sliding window on time axis. In our method, the mapping functions for each color channel change gradually following the video stream to avoid abrupt temporal changes in colors. The experimental results demonstrate that outperforms the state-of-the-art color correction algorithms for images and videos.