An iterative image super-resolution approach based on Bregman distance

作者：

Highlights：

•

• We treat the multi-frame super-resolution task based on Bregman distance.

• We propose a variational SR model based on Huber-Norm and bilateral total variation.

• The improved regularization is efficient in degraded image super-resolution task using primal–dual algorithm.

• The proposed method gives better performance comparing with other approaches.

摘要

•We treat the multi-frame super-resolution task based on Bregman distance.•We propose a variational SR model based on Huber-Norm and bilateral total variation.•The improved regularization is efficient in degraded image super-resolution task using primal–dual algorithm.•The proposed method gives better performance comparing with other approaches.

论文关键词：Super-resolution,Bregman distances,Huber-Norm,Primal–dual,Regularization,Bilateral total variation

论文评审过程：Received 12 March 2017, Revised 20 June 2017, Accepted 21 June 2017, Available online 29 June 2017, Version of Record 14 July 2017.

论文官网地址：https://doi.org/10.1016/j.image.2017.06.006