Abstract
In this paper, a novel non-reference objective quality metric for night vision image fusion is presented. The metric extracts visual salient regions of the source images based on the mechanism of human visual attention, calculates the visual saliency weights with consideration of the physical characteristics of the input images, and evaluates the quality of the fused image with a visual saliency weighted structural similarity. Experimental results show that the proposed approach is consistent with human visual inspection better than recent state of the art image fusion evaluation methods, and can be used to assess the fusion schemes that are not performed at the same level.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
