The Selection method is also one of the trivial methods of image fusion. But unlike averaging method, instead of averaging every corresponding pixel, a selection process if performed here. The criterion of selection is self explained by the name of the method. Of every corresponding pixel of the input images, the pixel with maximum intensity is selected and is put in as the resultant pixel of the fused image. Thus, effectively, every pixel of the fused image will be the pixel with maximum intensity of the corresponding position pixels in the input image. One advantage of this method over averaging method is that there is no compromise made over the good information available in the input images. A straight forward selection of the better pixel intensity is made here. But of course, it is combined with the disadvantage that higher pixel intensity does not always mean better information. It depends on the type of image under consideration. Thus, you either take the whole of the information or totally avoid the same. The stepwise description of the algorithm is as the following:
The maximum of the pixel intensities at every position (m,n) is selected as the (m,n) pixel of the fused image
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