Infrared and visible light dual-camera super-resolution imaging with texture transfer network

作者：

Highlights：

• An infrared and visible light binocular vision SR imaging method is proposed.

• An infrared super-resolution algorithm based on visible texture transfer is proposed.

• A texture transfer layer is developed to migrate the information of visible image.

• The method has a higher efficiency than the method based on patch matching.

• The method can obtain HR infrared images at different lighting conditions. conditions.

摘要

•An infrared and visible light binocular vision SR imaging method is proposed.•An infrared super-resolution algorithm based on visible texture transfer is proposed.•A texture transfer layer is developed to migrate the information of visible image.•The method has a higher efficiency than the method based on patch matching.•The method can obtain HR infrared images at different lighting conditions. conditions.

论文关键词：Infrared image,Super-resolution,Texture transfer,Cross-scale residual

论文评审过程：Received 24 February 2021, Revised 8 June 2022, Accepted 12 July 2022, Available online 16 July 2022, Version of Record 5 August 2022.

论文官网地址：https://doi.org/10.1016/j.image.2022.116825