Image Processing, Python, Image Enhancement, Histogram Manipulation, Data Science.
[cumulative_distribution(marty[:,:,i]) for i in range(3)] adjusted_figures = [] for n in range(3): interpolation = np.interp(freq_bins[n][0], target_freq, target_bins) adjusted_image = img_as_ubyte(interpolation[marty[:,:, n]].astype(int)) adjusted_figures.append([adjusted_image]) channel_figures =