Standard Deviation of every pixel in an image in Python
Use slicing, given images[num, width, height] you may calculate std. deviation of a single image using images[n].std() or for a single pixel: images[:, x, y].std()
I have an image stored in a 2D array called data. I know how to calculate the standard deviation of the entire array using numpy that outputs one number quantifying how much the data is spread. However, how can I made a standard deviation map (of the same size as my image array) and each element in this array is the standard deviation of the corresponding pixel in the image array (i.e, data).