Image fusion method based on spatially masked convolutional sparse representation

作者：

Highlights：

• A general two-scale decomposition framework is built.

• The convolutional sparse processing is used for multi-source fusion.

• The boundary handing with spatial masking is added into the convolutional sparse model.

摘要

•A general two-scale decomposition framework is built.•The convolutional sparse processing is used for multi-source fusion.•The boundary handing with spatial masking is added into the convolutional sparse model.

论文关键词：Sparse representation (SR),Image fusion,Spatially masked convolutional sparse representation (SMCSR),Two-scale gradient optimization

论文评审过程：Received 28 March 2019, Revised 17 August 2019, Accepted 20 August 2019, Available online 31 August 2019, Version of Record 22 October 2019.

论文官网地址：https://doi.org/10.1016/j.imavis.2019.08.010