Combination Morphological Un-decimated Wavelets and Guided Filtering of Image Fusion

A new image fusion method is proposed, which combined morphological un-decimated wavelets and guided filter to achieve a fast and effective and preserve images edges in the fusion process. Firstly, the method is based on morphological un-decimated wavelets decomposition of an image into base layer, source image subtraction base layer to get the detail image. Secondly, detail images image are compared to get weight map. Third, the guided image filtering is performed on each weight map with the corresponding source image serving as the guidance image to achieve the optimized weight map. Finally the optimized weight image respectivelywith weighted average of base image and detail image to get the final fusion result. Relative to the existing image fusion algorithm, the method can effectively preserve source image edges and contribute to target detection. Experiments show that the algorithm can get a fusion of images with high contrast and fusion works well and has a high value in the real-time image fusion.