Image Processing, Python, Image Enhancement, Histogram Manipulation, Data Science.
[cumulative_distribution(image[:,:,i]) for i in range(3)] names = ['Reds', 'Greens', 'Blues'] line_color = ['red','green','blue'] adjusted_figures = [] f_size = 20 fig, ax = plt.subplots(1,3, figsize=[15,5]) for n, ax in enumerate(ax.flatten()): interpolation = np.interp(freq_bins[n][0],