Mm - hmm.
You have this kind of   of histogram of  of levels of brightness or whatever. And  and  and then ,  when you get a new  new thing that you  you want to adjust to be  better in some way ,  you adjust it so that the histogram of the new data looks like the old data.
Hmm.
You do this kind of  piece - wise linear or ,  uh , some kind of piece - wise approximation. They did a  uh one version that was piece - wise linear and another that had a power law thing between them   between the  points. And , uh , they said they s they sort of see it in a way as s for the speech case   as being kind of a generalization of spectral subtraction in a way , because , you know , in spectral subtraction you 're trying to  get rid of this excess energy. Uh , you know , it 's not supposed to be there. Uh   and , uh , this is sort of   adjusting it for  for a lot of different levels. And then they have s they have some kind of ,  uh ,  a floor or something ,