Min-Max Normalization

Problem

Min-max normalize an image to the range [0, 1].

For each pixel compute (v - min) / (max - min), rounded to 4 decimal places, where min and max are taken over the whole image. If all pixels are equal, return a same-shaped grid of zeros.

Hint

Handle the constant-image case before dividing to avoid a zero denominator.

Test cases

case 1

in: [[[0,2],[4,8]]]

expected: [[0,0.25],[0.5,1]]

case 2

in: [[[5,5],[5,5]]]

expected: [[0,0],[0,0]]

case 3

in: [[[10,20],[30,40]]]

expected: [[0,0.3333],[0.6667,1]]

case 4

in: [[[-1,1]]]

expected: [[0,1]]

Starter codePython

def min_max_normalize(image):
    # Your code here
    pass

4 test cases · run your code against them in the editor