A total variation and group sparsity based tensor optimization model for video rain streak removal

作者：

Highlights：

• We propose a tensor optimization model for video rain streak removal.

• We develop an efficient algorithm to tackle the proposed model.

• Extensive experiments demonstrate the superiority of the proposed method.

摘要

•We propose a tensor optimization model for video rain streak removal.•We develop an efficient algorithm to tackle the proposed model.•Extensive experiments demonstrate the superiority of the proposed method.

论文关键词：Video rain streak removal,Group sparsity,Unidirectional total variation (UTV),Tensor optimization model,Alternating direction method of multipliers (ADMM)

论文评审过程：Received 2 March 2018, Revised 25 November 2018, Accepted 26 November 2018, Available online 1 December 2018, Version of Record 12 March 2019.

论文官网地址：https://doi.org/10.1016/j.image.2018.11.008