A nonconvex fractional order variational model for multi-frame image super-resolution

作者：

Highlights：

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• We treat the multi-frame super-resolution task based on a nonconvex fidelity term.

• We propose a new fractional order regularization term in the reconstruction step.

• The improved fidelity term is efficient in noisy and blurry image super-resolution task.

• The proposed method achieves superior performance comparing with other approaches.

摘要

•We treat the multi-frame super-resolution task based on a nonconvex fidelity term.•We propose a new fractional order regularization term in the reconstruction step.•The improved fidelity term is efficient in noisy and blurry image super-resolution task.•The proposed method achieves superior performance comparing with other approaches.

论文关键词：Multi-frame super-resolution,Nonconvex fidelity term,Fractional order regularization,Optimization

论文评审过程：Received 26 October 2017, Revised 23 March 2018, Accepted 16 May 2018, Available online 22 May 2018, Version of Record 28 May 2018.

论文官网地址：https://doi.org/10.1016/j.image.2018.05.011