A feature level image fusion for Night-Vision context enhancement using Arithmetic optimization algorithm based image segmentation

作者：

Highlights：

• It is proposed an efficient method for image Fusion.

• Weight maps are generated from segmentation using Arithmetic optimization algorithm.

• The weight maps are optimized using a weighted least square (WLS) technique.

• The quality of the fused results is verified using the (QAB/F), SCD, SSIM, and NAB/F.

• The quality of the fused results is better than other competitor algorithms.

摘要

•It is proposed an efficient method for image Fusion.•Weight maps are generated from segmentation using Arithmetic optimization algorithm.•The weight maps are optimized using a weighted least square (WLS) technique.•The quality of the fused results is verified using the (QAB/F), SCD, SSIM, and NAB/F.•The quality of the fused results is better than other competitor algorithms.

论文关键词：Infrared (IR),visible (Vis) image,Image Fusion,AOA,Image segmentation,WLS

论文评审过程：Received 25 September 2021, Revised 21 June 2022, Accepted 22 July 2022, Available online 26 July 2022, Version of Record 2 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118272