Convolutional analysis operator learning for multifocus image fusion

作者：

Highlights：

• A new multi-focus image fusion framework CAOL-based is proposed.

• The different rules are used to alleviate fusion defect of connection areas.

• The fusion performance under different filters with CAOL is discussed.

摘要

•A new multi-focus image fusion framework CAOL-based is proposed.•The different rules are used to alleviate fusion defect of connection areas.•The fusion performance under different filters with CAOL is discussed.

论文关键词：Multifocus image fusion,Analysis-based signal model,Convolution analysis operator learning,BPEG-M,ADMM,CBPDN

论文评审过程：Received 25 August 2021, Revised 8 November 2021, Accepted 30 December 2021, Available online 11 January 2022, Version of Record 24 January 2022.

论文官网地址：https://doi.org/10.1016/j.image.2022.116632