An Improved NSCT of Fusion of Visible and Infrared Images

Abstract

An improved NSCT of infrared and visible light image fusion method is proposed, which aims at the problem of low contrast between target and background in infrared and visible light fusion images. Firstly, the infrared and visible images are preprocessed respectively. Secondly, the morphological Top-hat operator is used to suppress the background of the image. According to the contrast between the target and the surrounding background, the salient region of interest is segmented. Finally, the high frequency and low frequency components of the visible and infrared images are obtained by NSCT transform. Then, different fusion strategies are designed in the salient and non-salient regions to fuse the low-frequency coefficients and high-frequency coefficients. Experimental results show that compared with other algorithms, the fusion image obtained by this method enhances the contrast between the thermal target and the background, while retaining the details of the background information, more in line with human visual perception.