In the image fusion process multiple images were taken. The properties in both of the input images were preserved in the resulting image. The fusion process is employed using the wavelet transformation. The wavelet transformation decomposes the images into several components. The low components consists of the low level informations in the images. The low components were selected for the fusion of the images. The fusion process is employed by selecting the pixels in the images for fusion process. The selecting of the pixels is done by selection using optimal pixel that consists of more important informations in the images. The performance of the process is measured by calculation of the mean and the standard deviation of the process. Image fusion process helps in producing enhanced image consisting of both the informations from the two input images. Image fusion methods can be broadly classified into two groups – spatial domain fusion and transform domain fusion. Spatial domain refers to the pixelwise transformation of the two images and the transform domain fusion refers to the application of the transformation to the input images and then fusion specific pixels. The wavelet based transformation of the input images helps in preserving the image properties so that the resulting image contains the informations present in both the images.