基于时空全变异视点和亮度自适应的视频增强

Liqian Wang, W. Shao, Qi Ge, Haibo Li, Liang Xiao, Zhihui Wei
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引用次数: 1

摘要

本文提出了一种基于时空全变视差和亮度自适应的视频增强方法。为了利用视频帧间的时间信息,我们构造了一个照度数据保真度项,并提出了一种视屏的时空总变分模型。为了进一步增强视频帧的对比度,我们采用加权分布的自适应伽玛校正作为后处理步骤。因此,所提出的方法能够在产生相干照明的同时增强视频帧的对比度。实验结果证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Video enhancement using temporal-spatial total variation retinex and luminance adaptation
In this paper, we propose a video enhancement method using temporal-spatial total variation Retinex and luminance adaption. To utilize the temporal information between video frames, we construct a illumination data fidelity term and propose an temporal-spatial total variation model for Retinex. In order to further enhance the contrast of video frames, we use the adaptive Gamma correction with weighting distribution as a post processing step. Thus, the proposed method is able to enhance video frames' contrast while producing coherent illumination. Experimental results demonstrate the efficiency of the proposed method.
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