I have 3 different images and I have the data which is in frequency domain. The data size is :
First 3 sizes are frequency domain dimensions 4.dimension: channels 5.dimension: different images' data in frequency domain
When I take FFT3D for this data and sum of squares in the channel direction I obtain the image. I want to normalize all this images such that their maximum image domain intensity value should be 1. The process I'm doing is taking 3D FFT for 32 channels. Then I'm finding maximum of the image intensity and multiplying the maximum value with frequency domain.
- Is my approach true?
- After taking absolute value, there are a lot of outliers. Will it be problem?