Image fusion implies the route toward combining the information from no less than two pictures into a single educational picture. The resulting consolidated picture contains a larger amount of information than the data pictures. We endeavored to entwine contrastingly revealed grayscale and shaded pictures using system for Discrete Wavelet Transform and besides two helpful pictures using Discreet Wavelet Transform. The objective of the mix of a picture taken during the day and photo of a same picture taken during the night is to procure a lone picture containing however much information as could be normal about that image for analysis. In this project, a novel DWT-type2 fluffy technique is proposed to intertwine two images (Morning and evening images). In this system, at first, the source pictures are broken down into low-level and strange state sub bunches by discrete wavelet change. As the second step, for fusion, Type-2 fluffy procedure is connected on a low-level sub band and normal fusion strategy is connected on the abnormal state sub groups with a specific end goal to improve the most conspicuous highlights exhibit in both the images captured during the day and night. At long last, the intertwined lowlevel sub band and abnormal state sub groups are reproduced to frame the last combined image utilizing backwards DWT.