Projective transformation to improve the readability of an image acquired by a camera in an oblique plane to the document plane. $($Use image given as an example$)$

Write a python code to for for a document image simulatar toDetect the document's junction points, page vertices, using methods such as the Harris detector;

Based on the input points, find the projective transformation that takes each of the vertices to the vertices of a rectangle of dimensions equal to those of the original image.

Apply the transformation to the image and obtain the reproved image;

Compare the reproved image with the default document image provided using the average quadratic error $($MSE$),$ the correlation coefficient between the images and the structural similarity index $($SSIM$)$