An effective approach for color video recovery based on balanced tensor
作者：
Highlights：
• The unbalanced structure may lead to the poor performance in recovery accuracy.
• An approach is proposed to constructing a more balanced tensor.
• The reshaped tensor can achieve a lower bound for required measurements.
• Several reshaping guidelines are introduced for obtaining the optimal results.
• The feasibility of the approach and the validity of the guidelines are verified.
摘要
•The unbalanced structure may lead to the poor performance in recovery accuracy.•An approach is proposed to constructing a more balanced tensor.•The reshaped tensor can achieve a lower bound for required measurements.•Several reshaping guidelines are introduced for obtaining the optimal results.•The feasibility of the approach and the validity of the guidelines are verified.
论文关键词：Low-rank tensor completion,Video recovery,Balanced tensor
论文评审过程：Received 24 March 2019, Revised 27 July 2019, Accepted 1 August 2019, Available online 9 August 2019, Version of Record 12 August 2019.
论文官网地址：https://doi.org/10.1016/j.image.2019.08.001
