Gaussian Blur

Problem

Blur a grayscale image with a Gaussian kernel.

Build the normalized Gaussian kernel for the given odd size and sigma using the same formula as Gaussian kernel generation, then apply valid-mode cross-correlation. Round each output value to 4 decimal places.

Hint

Generate and normalize the weights first, then run a sliding-window sum.

Test cases

case 1

in: [[[5,5,5],[5,5,5],[5,5,5]],3,1]

expected: [[5]]

case 2

in: [[[1,2,3],[4,5,6],[7,8,9]],3,1]

expected: [[5]]

case 3

in: [[[1,1,1,1],[1,5,5,1],[1,5,5,1],[1,1,1,1]],3,1]

expected: [[3.1079,3.1079],[3.1079,3.1079]]

Starter codePython

def gaussian_blur(image, size, sigma):
    # Your code here
    pass

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