First of all, you'll have to use the image with the higher resolution as reference. The other should be upsampled/registered to this. Then, to split the wavelet layers, use the MultiscaleLinearTransform. Make a clone of the image, and disable in it the first 2 or 3 layers (you'll have to experiment). This will create the large-scale version of your image. To get the small scale version you'll need to use PixelMath. Use the following equation: " (original-large)/2 + 0.5" and create a new image. This should create an image with a mean value of 0.5 (neutral gray) with all the small scale features. Now, average your large scale version with the low resolution one. Finally, add again the small scales with this equation "averaged + (small-0.5)*2". You should change the name of the images accordingly. Also, you may need to rescale the final image in PixelMath. Play with the number of layers, and you may change too the weight of the small scales (the *2 factor).