MSE Between Two ImagesUnsolved
Problem reported in interviews at
MSE (mean squared error) is one way to compute image similarity. The MSE between two images is the sum of squared differences between every pixel values of the given two images of same dimension.
Write a function mse(imageA, imageB) which calculates and returns the MSE between given two images (2D NumPy arrays).
imageA: [[1, 2, 3], [4, 5, 6]]
imageB: [[1, 2, 3], [4, 5, 6]]
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numpy has been already imported as np (import numpy as np)