Thanks for using Oufti. There was indeed normalization. I believe most of the normalization is similar to what was done in function normim (
https://github.com/JacobsWagnerLab/Oufti/blob/master/oufti_windows/source/divisionFunctions/normim.m). As you see, all pixels were normalized between 0 to 1 based on the
range of the pixels of that particular frame. The reason of this normalization is to use improve the computation efficiency. For example, a 16-bit image has a highest value of 2^16-1 = 65535. If you sum up all the pixels, the sum could go up to 2^38 (assuming a 2048x2048 image), which overflows a 32-bit integer. Other mathematical operations could make this worse.
Hope this answers your question.