fast::PeakSignalToNoiseRatio class
#include <FAST/Algorithms/ImageComparison/PSNR.hpp>

Peak Signal-To-Noise-Ratio (PSNR) of two input images.

Contents

The PSNR is calculated using the MSE of the two input images, and the max intensity value as: PSNR = 20*log10(MAX_INTENSITY) - 10*log10(MSE)

Multi-channel and 3D images are supported. In this case a MSE value is calculated per channel, and the final PSNR value uses the average of all channel MSE values as MSE in the equation above.

Inputs:

Outputs:

  • 0: Squared difference image
  • 1: Float scalar, PSNR value

Base classes

class MeanSquaredError
Mean squared error (MSE) of two input images.

Private functions

void execute() override