Write ✍️ the explanation are Histogram Processing

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Write ✍️ the explanation are Histogram Processing.
The histogram of a digital image with intensity level in the range [0,1,-1] is a discrete function given by
                h(rk)= nk
Where,
          rk= kth intensity value
          nk = no. Of pixel in the image having intensity level rk.
h(rk)= histogram
So, we have L number of intensity in the image when we get the number of pixel having an intensity value rk and if we plot their number of pixels having different intensity value of these pixels then the plot we get is known as histogram.
➡️ Image filtering:-
                               It is used to recover the image from the degraded image i.e. by applying inverse filtering we can estimate fourier transform of original image F(u,v) from the degraded image G(u,v)
      Which is given by
               F(u,v)=G(u,v)/H(u,v)
If we consider,
               G(u,v) = H(u,v)F(u,v)+N(u,v)
Then,
               F(u,v) = F(u,v)+N(u,v)/H(u,v)
We cannot recover the undegraded image exactly becouse N(u,v) is not know. If the degradation function is very small then the ratio of N(u,v)/H(u,v) could easily dominate the estimate F(u,v).
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