The present invention discloses an infrared and visible light image fusion method based on a novel regional feature fusion rule, which mainly solves the problems of edge information loss and insufficient highlight of target features when infrared and visible light images are fused. The present invention is implemented in the following steps: performing NSST decomposition respectively on registered infrared images and visible light images to obtain corresponding low-frequency sub-band coefficients and high-frequency sub-band coefficients; performing fusion on the low-frequency sub-band coefficients by using a fusion rule based on an optimized PCNN model, and performing fusion on the high-frequency sub-band coefficients by using a novel regional feature fusion rule; and finally performing NSST inverse transformation on the fused low-frequency sub-band coefficient and the fused high-frequency sub-band coefficient to obtain a final fused image. The present invention can fully highlight the target features of the infrared and visible light images, also protects texture detail and edge information of the infrared and visible light images effectively, and obtains the fused image with high contrast and definition and high fidelity of visual information.
INFRARED AND VISIBLE LIGHT IMAGE FUSION METHOD BASED ON NOVEL REGIONAL FEATURE FUSION RULE