Single-image super-resolution using iterative Wiener filter based on nonlocal means

作者：

Highlights：

• Nonlocal means filter as the correlation function of the Wiener filter.

• Iterative scheme to resolve drawbacks of the current non-iterative approaches.

• Offline training of parameters through minimizing the MSE of the training image.

• High competitive performance compared with state-of-the-art approaches in terms of PSNR and SSIM.

• Can be applied to content specific applications, e.g. face super-resolution.

摘要

•Nonlocal means filter as the correlation function of the Wiener filter.•Iterative scheme to resolve drawbacks of the current non-iterative approaches.•Offline training of parameters through minimizing the MSE of the training image.•High competitive performance compared with state-of-the-art approaches in terms of PSNR and SSIM.•Can be applied to content specific applications, e.g. face super-resolution.

论文关键词：Super-resolution reconstruction,Iterative Wiener filter,Nonlocal means filter

论文评审过程：Received 7 October 2014, Revised 6 July 2015, Accepted 6 July 2015, Available online 10 August 2015, Version of Record 27 August 2015.

论文官网地址：https://doi.org/10.1016/j.image.2015.07.003