Low-Light visible and infrared image fusion in NSST domain

Abstract

Multisensor images are captured to facilitate the human visual system under different environmental circumstances. Nowadays, images are captured in a wide range of electromagnetic spectrum. The focus of this manuscript will be on images captured from two sensors, viz. Visible and Infrared. The images captured from these sensors are integrated efficiently to enhance the information content of fused images and the performance is evaluated with the help of various metrics available. In this manuscript, fusion methods based on four benchmark techniques are presented on a challenging dataset and evaluated on the basis of various evaluation metrics and also visually and according to the results obtained this can be established successfully that the Shearlet-based methods are most efficient in terms of subjective as well as objective quality