def peak_signal_to_noise_ratio(true, pred):
 return ((10.0 * tf.log((1.0 / mean_squared_error(true, pred)))) / tf.log(10.0))

def peak_signal_to_noise_ratio ( true , pred ) : return ( ( 10.0 * tf . log ( ( 1.0 / mean_squared_error ( true , pred ) ) ) ) / tf . log ( 10.0 ) )
image quality metric based on maximal signal power vs .