Data Science, Image Processing, Python, Programming, Histograms.
img_as_ubyte(interpolation[image[:,:,n]].astype(int)) ax.set_title(f'{names[n]}', fontsize = f_size) ax.imshow(adjusted_image, cmap = names[n]) adjusted_figures.append([adjusted_image]) fig.tight_layout() #Plot Adjusted CDFs fig, ax = plt.subplots(1,3, figsize=[15,3]) for n, ax in