import necessary packages

reading/writing image files

from skimage import io
from skimage import color

displaying images and plots

import matplotlib as mpl
import matplotlib.pyplot as plt

array operations

import numpy as np

mathematical calculations

import math

data frame operations

import pandas as pd

STEP 2 Define a vector source by combining two consecutive pixels

and calculate the probabilities of these vector symbols

ADD YOUR CODE HERE

notes:

since each pixel has 8 intensity levels, there will be 8×8 = 64 symbols in the vector source.

the symbols for the vector source could be represented as “aa, ab, ac, …, hf, fg, hh.”

there are a total of 512*512/2 = 131,072 sample vectors in the input image to calculate the histogram

calculate the histogram of the vector symbols

obtain the pdf by normalizing the histogram

plot the pdf of this vector source

I have Quantize the image name imgLumQuan Can you help me do the above?