Unsupervised and optimized thermal image quality enhancement and visual surveillance applications

作者：

Highlights：

• Thermal image enhancement algorithm using a new Bi-sigmoid function.

• Modified particle swarm optimization algorithms.

• Robust thermal image quality measure – a cost function for optimization.

• Evaluation results of presented tools tailored to satellite thermal solar panel images.

摘要

•Thermal image enhancement algorithm using a new Bi-sigmoid function.•Modified particle swarm optimization algorithms.•Robust thermal image quality measure – a cost function for optimization.•Evaluation results of presented tools tailored to satellite thermal solar panel images.

论文关键词：Thermal aerial images,Thermal image enhancement,Thermal image quality assessment,Thermal satellite images

论文评审过程：Received 7 March 2021, Revised 14 January 2022, Accepted 10 April 2022, Available online 20 April 2022, Version of Record 7 May 2022.

论文官网地址：https://doi.org/10.1016/j.image.2022.116714