Representing Data with Images and Sound 2.10 clarendon

from PIL import Image    #Import the Image module from the PIL library

def clarendon2(values):
    new_values = []

    if max(values) < 128: #darks darker
        modify = 0.9
        for colour in range(3):
            new_values.append(int( max(0, values[colour] * modify)))
    else: #lights lighter
        modify = 1.1
        for colour in range(3):
            new_values.append(int( min(255, values[colour] * modify)))

    new_values[2] = int(min(255, new_values[2]*1.1)) #blue tint

    return tuple(new_values)



image = Image.open('image.png')    #Create a path to the image file
rgb_image = image.convert('RGB')    #Convert the image to RGB
width, height = image.size     #Assign the image's width and height to variables
new_image2 = Image.new('RGB', (width,height))     #Create a grid for the output image

#Set up loops to modify each pixel within the image
for row in range(height):
    for col in range(width):
        rgb  = rgb_image.getpixel((col, row))
        new_image2.putpixel((col, row), clarendon2(rgb))

image.show()
new_image2.show()