Abstract:Traditional methods for infrared image enhancement have some problems of fuzzy edge detail and excessive enhanced background noise. Combined with human visual properties, a novel algorithm that tailors the required amount of contrast enhancement based on human vision contrast resolution is proposed. According to the difference of human vision resolution in different background gray, the algorithm has self-adaptive characteristic, which makes the target mapped to the region of suiting the human eye to distinguish the background noise. The experimental results show that the proposed algorithm owns better performance in terms of highlighting infrared image target detail information and edge contour compared to traditional methods. The peak signal to noise ratio and contrast gain of the processed images increase by 100% and 50% respectivelty.
