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arange ( 0, ny, 1 )) # Create a figure of nrows x ncols subplots, and orient it appropriately # for the aspect ratio of the image. convert ( 'L' )) # A meshgrid of pixel coordinates nx, ny = im. shape, size = nsamples ) samples = im int_im = griddata (( iy, ix ), samples, ( Y, X )) return int_im # Read in image and convert to greyscale array object img_name = sys. Take nsamples random pixels from im and reconstruct the image using. # img_interp.py import os import sys import numpy as np from scipy.interpolate import griddata import matplotlib.pyplot as plt from PIL import Image def make_interpolated_image ( nsamples ): '''Make an interpolated image from a random selection of pixels.

Scipy griddata