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
