def show_with_diff(image, reference, title):
 plt.figure(figsize=(5, 3.3))
 plt.subplot(1, 2, 1)
 plt.title('Image')
 plt.imshow(image, vmin=0, vmax=1, cmap=plt.cm.gray, interpolation='nearest')
 plt.xticks(())
 plt.yticks(())
 plt.subplot(1, 2, 2)
 difference = (image - reference)
 plt.title(('Difference (norm: %.2f)' % np.sqrt(np.sum((difference ** 2)))))
 plt.imshow(difference, vmin=(-0.5), vmax=0.5, cmap=plt.cm.PuOr, interpolation='nearest')
 plt.xticks(())
 plt.yticks(())
 plt.suptitle(title, size=16)
 plt.subplots_adjust(0.02, 0.02, 0.98, 0.79, 0.02, 0.2)

def show_with_diff ( image , reference , title ) : plt . figure ( figsize = ( 5 , 3.3 ) ) plt . subplot ( 1 , 2 , 1 ) plt . title ( 'Image' ) plt . imshow ( image , vmin = 0 , vmax = 1 , cmap = plt . cm . gray , interpolation = 'nearest' ) plt . xticks ( ( ) ) plt . yticks ( ( ) ) plt . subplot ( 1 , 2 , 2 ) difference = ( image - reference ) plt . title ( ( 'Difference (norm: %.2f)' % np . sqrt ( np . sum ( ( difference ** 2 ) ) ) ) ) plt . imshow ( difference , vmin = ( - 0.5 ) , vmax = 0.5 , cmap = plt . cm . PuOr , interpolation = 'nearest' ) plt . xticks ( ( ) ) plt . yticks ( ( ) ) plt . suptitle ( title , size = 16 ) plt . subplots_adjust ( 0.02 , 0.02 , 0.98 , 0.79 , 0.02 , 0.2 )
helper function to display denoising .