A method to compute the mean (average) of the data in an array takes one parameter, an array of integers returns the mean (average) of the data in the parameter array

Please impelement one of the point processing techniques below. Use phython3 /Jupyter Notebook. Please se nested loops to itterate through each indvidual pixel. the image file is in pgm format.  a. linear transformation b. non linear trasformation c. histogram genertion (the code should output the histogram data to an output file. You can then use an exisiting softeare such as excel to generate the histogram(bar chart) d. Histogram equation

You can also download the image file from https://www.dropbox.com/scl/fi/ztmuke5mlonrb3e0jdpuj/Santa.jpg?rlkey=lfdzstv649h141jolqdh2kagv&dl=0(1) Write a code to change all red color pixels into blue.(2) Write a code to change only the right half of the red hat into blue, using two if

Please do not give solution in image format thanku # Question 2 # Say we want to find the total population of a city.# The city can be divided into an m x n grid of neighborhoods where each neighborhood has a# certain number of buildings.# Conveniently due to zoning laws, all buildings within a neighborhood must have the s# ame number of people. # Inconveniently, in the data a column of buildings per neighborhood is followed by a# column of people per building. For example: toy_city_data = np.array([[11, 3, 8, 4],[7, 2, 15, 1]])# # bldgs # ppl # bldgs # ppl # The toy city above is a 2 x 2 city.# The buildings per neighborhood matrix looks like num_buildings = np.array([[11, 8],[7, 15]]) # The people per building looks like num_people_per_building = np.array([[3, 4],[2, 1]]) # Then the total population of the city is:# 11*3 + 8*4 + 7*2 + 15*1# Find the average number of people in each neighborhood of the city from the `city_data`# variable below. city_data = np.array([[34, 1, 16, 3, 26,…