MATLAB CVIP Toolbox Functions
Objective Fidelity Metrics
The objective fidelity metrics category contains the functions that
calculate error metrics, including root-mean-square (rms) error,
signal-to-noise ratio (snr) and peak snr. The metrics are used for image
comparison and will provide a mathematical based measure of similarity
between two images. These are most useful for comparing similar versions
of the same image, such as images that have been restored or compressed,
and can be compared to the original.
- peak_snr_cvip - computes the peak signal-to-noise ratio between two images
- rms_error_cvip - calculates the root-mean-squared-error between two images
- snr_cvip - calculates the signal-to-noise ratio between two images