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