gistfile1.txt

#!/usr/bin/env python3

import os, math

def neighbors(matrix, rowNumber, colNumber):
    result = []
    for rowAdd in range(-1, 2):
        newRow = rowNumber + rowAdd
        if newRow >= 0 and newRow <= len(matrix)-1:
            for colAdd in range(-1, 2):
                newCol = colNumber + colAdd
                if newCol >= 0 and newCol <= len(matrix)-1:
                    if newCol == colNumber and newRow == rowNumber:
                        continue
                    result.append(matrix[newCol][newRow])
    return result

def grayscale(image):
    for i in range(len(image)):
        for j in range(len(image[i])):
            image[i][j] = list(image[i][j])
            avg = math.ceil(sum(image[i][j]) / len(image[i][j]))
            for k in range(0, 3):
                image[i][j][k] = avg
    return image

def monochrome(image, color):
    for i in range(len(image)):
        for j in range(len(image[i])):
            image[i][j] = list(image[i][j])
            avg = math.ceil(sum(image[i][j]) / len(image[i][j]))
            for k in range(0, 3):
                image[i][j][k] = math.ceil(list(color)[k] * avg / 255)
    return image

def blur(image):
    oldImage = image
    for i in range(len(image)):
        for j in range(len(image[i])):
            image[i][j] = list(image[i][j])
            avg = math.ceil(sum(image[i][j]) / len(image[i][j]))
            n = neighbors(oldImage, i, j)
            for k in range(0, 3):
                newColor = math.ceil((len(n)*image[i][j][k]+sum([x[k] for x in n]))/16)
                image[i][j][k] = newColor
    return image

def main():
    image = [[[255,0,0],[255,0,0],[255,0,0]], [[255,0,0],[255,0,0],[255,0,0]], [[255,0,0],[255,0,0],[255,0,0]]]
    print("Image:")
    print(image)
    print("Grayscale:")
    print(grayscale(image))
    print("Monochrome:")
    print(monochrome(image, (255, 0, 0)))
    print("Blur:")
    print(blur(image))


if __name__ == '__main__':
   main()