Image Processing, Python, Image Enhancement, Histogram Manipulation, Data Science.
20 fig, ax = plt.subplots(1,3, figsize=[15,5]) for n, ax in enumerate(ax.flatten()): interpolation = np.interp(freq_bins[n][0], target_freq, target_bins) adjusted_image = img_as_ubyte(interpolation[image[:,:, n]].astype(int)) ax.set_title(f'{names[n]}', fontsize = f_size) ax.imshow(adjusted_image,