文献类型：期刊文献

英文题名：Video flickering removal using temporal reconstruction optimization

作者：Li, Chao[1];Chen, Zhihua[1];Sheng, Bin[2,3];Li, Ping[4];He, Gaoqi[1]

机构：[1]East China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai, Peoples R China;[2]Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai, Peoples R China;[3]Shanghai Jiao Tong Univ, AI Inst, MoE Key Lab Artificial Intelligence, Shanghai, Peoples R China;[4]Macau Univ Sci & Technol, Fac Informat Technol, Macau, Peoples R China

年份：2020

卷号：79

期号：7-8

起止页码：4661

外文期刊名：MULTIMEDIA TOOLS AND APPLICATIONS

收录：;EI(收录号：20191206660055);WOS:【SCI-EXPANDED(收录号:WOS:000519474500023)】；

语种：英文

外文关键词：Video processing; Flickering removal; Multiple frames; Temporal coherence; Spatial coherence

摘要：In this paper, we introduce an approach to remove the flickers in the videos, and the flickers are caused by applying image-based processing methods to original videos frame by frame. First, we propose a multi-frame based video flicker removal method. We utilize multiple temporally corresponding frames to reconstruct the flickering frame. Compared with traditional methods, which reconstruct the flickering frame just from an adjacent frame, reconstruction with multiple temporally corresponding frames reduces the warp inaccuracy. Then, we optimize our video flickering method from following aspects. On the one hand, we detect the flickering frames in the video sequence with temporal consistency metrics, and just reconstructing the flickering frames can accelerate the algorithm greatly. On the other hand, we just choose the previous temporally corresponding frames to reconstruct the output frames. We also accelerate our video flicker removal with GPU. Qualitative experimental results demonstrate the efficiency of our proposed video flicker method. With algorithmic optimization and GPU acceleration, the time complexity of our method also outperforms traditional video temporal coherence methods.