Joint image registration and point spread function estimation for the super-resolution of satellite images

作者：

Highlights：

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• A generic observation model that includes both geometric transformation and photometric transformation is proposed.

• Image registration and PSF estimation are combined into a single process to enable registration parameters and PSF to be estimated and improved progressively.

• LRTV regularization is incorporated into the multi-frame SR.

摘要

•A generic observation model that includes both geometric transformation and photometric transformation is proposed.•Image registration and PSF estimation are combined into a single process to enable registration parameters and PSF to be estimated and improved progressively.•LRTV regularization is incorporated into the multi-frame SR.

论文关键词：Super-resolution,Image registration,Point spread function estimation,Iterative optimization,Alternating minimization

论文评审过程：Received 17 November 2016, Revised 9 August 2017, Accepted 9 August 2017, Available online 15 August 2017, Version of Record 29 August 2017.

论文官网地址：https://doi.org/10.1016/j.image.2017.08.006