MeanSquaredError class
Mean squared error (MSE) of two input images.
Contents
MSE is calculated as: \text{MSE} = \sum_i^N (I_1(\vec x_i) - I_2(\vec x_i)^2
Multi-channel and 3D images are supported. In this case an MSE value is calculated per channel, and the final MSE value is the average of all channel MSE values.
Inputs:
Outputs:
- 0: Squared difference image
- 1: Float scalar, MSE value
Base classes
- class ProcessObject
- Abstract base class for all process objects.
Derived classes
- class PeakSignalToNoiseRatio
- Peak Signal-To-Noise-Ratio (PSNR) of two input images.
Public functions
- auto get() const -> float
- Create instance.
Protected functions
- auto calculateSquaredDiffImage(std::shared_ptr<Image> image1, std::shared_ptr<Image> image2) -> std::shared_ptr<Image>
- auto calculateMSE(std::shared_ptr<Image> image) -> float
Protected variables
- float m_value
Private functions
- void execute() override
Function documentation
float fast::
Create instance.
| Returns | instance |
|---|
Get MSE value of last run