Image Processing, Python, Image Enhancement, Histogram Manipulation, Data Science.
f_size) ax.imshow(adjusted_image, cmap = names[n]) adjusted_figures.append([adjusted_image]) fig.tight_layout() 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 =