implement in python

- Read a grayscale image moon.png. - Filter the grayscale image with the following filters. - Display results. - Write your own code to implement the following filters: (You cannot use any built-in functions from any library for this.) NOTE: You may need to appropriately pad your input image so that the output image has the same shape as the supplied input. 1. Laplacian Filter 2. [0,0,0,0,0] [0,1,0,1,0] [0,0,0,1,0] 3. [0,0,0] [6,0,6] [0,0,0] 4. Compute image enhancement using a Laplacian filter. Use your result from 1. Inputs: Image I, filter matrix K; shape of K is (2h+1,2w+1) Output: Image J Step 1: Pad h rows on the top and the bottom and w columns at the left and the right of image I; Let (H,W) be the shape of the padded image I Step 2: Initialize output image J to all zeros; J has shape (H,W) Step 3: for i from h to Hh1 for j from w to Ww1 for m from h to h for n from w to w J[i,j]+=[i+m,j+n]K[m+h,n+w] Step 4: Strip padding from J, so that J has shape (H-2h, W-2w). Return J