Fourier theory is built on the assumption of everything being linear, and I suspect it can be hard to fit the constraint of 0 <= v <= 1 into that framework. In

Fourier theory is built on the assumption of everything being linear, and I suspect it can be hard to fit the constraint of 0 <= v <= 1 into that framework. In audio they solve this by having headroom (not applicable here) or using dynamic range compression (might work), but that will change the frequencies a little bit. Histogram equalization could be something to try. It forces the values to be uniformly 0 to 1. This could also solve the issue of > the problem with the IDFT method is though… you get gaussian distributed values, not uniform, and the noise seems to be lower quality as well. If these issues could be solved, or if this noise has value as is, I think that’d be a real interesting and useful result