Python Image Processing Cookbook

How to do it...

Execute the following steps to denoise image with an MRF:

1. Let's first implement the read_image_and_binarized() function to read the image and binarize (as pre-processing step). Note that the output binary image will have pixels with values from {-1, 1}:

def read_image_and_binarize(image, threshold=128):  im = (rgb2gray(plt.imread(image))).astype(int)  im[im < threshold] = -1  im[im >= threshold] = 1  return im

2. Let's implement the compute_energy_helper() functions to compute the energy as a function of the noisy input image, X, and the output denoised image, Y, to be generated:

def compute_energy_helper(Y, i, j):  try:    return Y[i][j]  except IndexError:    return 0def compute_energy(X, Y, i, j, zeta, eta, Y_i_j): energy = -eta * ...