SiameseFuse: A computationally efficient and a not-so-deep network to fuse visible and infrared images

作者：

Highlights：

• A Siamese based solution is proposed to fuse images taken from the infrared and the visible spectrum.

• Shallow networks can provide sufficient results similar to the existing deeper solutions for image fusion.

• Our model reduces the required parameter numbers by 96.5%, when compared to the previous work.

摘要

•A Siamese based solution is proposed to fuse images taken from the infrared and the visible spectrum.•Shallow networks can provide sufficient results similar to the existing deeper solutions for image fusion.•Our model reduces the required parameter numbers by 96.5%, when compared to the previous work.

论文关键词：Multi-temporal fusion,Efficient learning,Multi-modal fusion

论文评审过程：Received 3 August 2021, Revised 1 April 2022, Accepted 13 April 2022, Available online 20 April 2022, Version of Record 30 April 2022.

论文官网地址：https://doi.org/10.1016/j.patcog.2022.108712