A novel multi-focus image fusion method based on joint regularization optimization layering and sparse representation

作者：

Highlights：

• A regularization model was proposed to divide the sources into a uniform based layer and respective detail layers jointly.

• An atom focus degree based SR domain fusion rule was designed to fuse the focused details.

• Extensive experiments validated the competitive performance of our method.

摘要

•A regularization model was proposed to divide the sources into a uniform based layer and respective detail layers jointly.•An atom focus degree based SR domain fusion rule was designed to fuse the focused details.•Extensive experiments validated the competitive performance of our method.

论文关键词：Multi-focus image fusion,Multi-source joint regularization optimization layering,Sparse representation,Atom focus degree

论文评审过程：Received 16 August 2020, Revised 4 September 2021, Accepted 31 October 2021, Available online 17 November 2021, Version of Record 23 November 2021.

论文官网地址：https://doi.org/10.1016/j.image.2021.116572