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Visually Consistent Color Correction for Stereoscopic Images and Videos
IEEE Transactions on Circuits and Systems for Video Technology ( IF 8.4 ) Pub Date : 2020-03-01 , DOI: 10.1109/tcsvt.2019.2897123
Yuzhen Niu , Xiaohua Zheng , Tiesong Zhao , Junhao Chen

In stereoscopic 3D (S3D) color correction, visual inconsistency is a common problem that leads to perceptual quality degradations. In this paper, we propose an S3D image/video color correction strategy that resolves 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 to further improve 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 the proposed strategy outperforms the state-of-the-art color correction algorithms for images and videos.

中文翻译:

立体图像和视频的视觉一致色彩校正

在立体 3D (S3D) 色彩校正中,视觉不一致是导致感知质量下降的常见问题。在本文中,我们提出了一种 S3D 图像/视频颜色校正策略,可同时解决全局、局部和时间颜色差异。我们通过三个步骤实现基于图像的 S3D 颜色校正:全局颜色匹配的粗粒度颜色校正,进一步改善全局和局部颜色一致性的细粒度颜色校正,以及保证结构一致性的引导过滤过程色彩校正前后。此外,我们将上述策略扩展到 S3D 和多视图视频色彩校正。为了实现连续视频帧之间的时间一致性,我们在时间轴上的滑动窗口内开发了改进的直方图匹配。在我们的方法中,每个颜色通道的映射函数随着视频流逐渐变化,以避免颜色的突然时间变化。实验结果表明,所提出的策略优于最先进的图像和视频色彩校正算法。
更新日期:2020-03-01
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