A Hybrid Approach to Image Fusion Using DWT and Fuzzy Logic

Image fusion may be defined as abstracting relevant information from more than one image and attempting to combine them into one image in order to produce one meaningful image with all the necessary data from all the images. There has been extensive work in this field, but with emerging technology in the field of AI and machine learning, there is potential which can be explored to generate better techniques. This paper proposes two new hybrid image fusion techniques using discrete wavelet transform and fuzzy logic. Fuzzy logic has been used to generate one of the four bands obtained after the first step in discrete wavelet transform. Experimental results show that the proposed techniques give better performance in terms of various metrics like PSNR, mean square error and entropy with higher image quality and low rate of error.