Abstract
The night mode visible images are often fused with infrared images for increased visual perception and contextual enhancement as the later is equipped with the complimentary information which is otherwise missing due to night mode image acquisition. This technology finds extensive application in the field of armed forces and surveillance. The night mode visible images, due to under-exposure and poor atmospheric conditions are prone to noise and artefacts which leads deterred level of information analysis and extraction. This article not only provides higher visual perception of the individual source images but also proposes an efficient fusion algorithm for visible and infrared images in night mode which is able to generate high quality results with increased focus on the objects of interest competitive with the state-of-the-art methods.
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