SNR, PSNR, RMSE, MAE

ImageJ's plugin to assess the quality of images

Written by Daniel Sage at the Biomedical Image Group, EPFL, Switzerland

Outline

This program evaluates the SNR, PSNR, RMSE, and MAE of images or series of images according the definitions of Gonzalez (R.C. Gonzalez and R.E. Woods, "Digital Image Processing," Prentice Hall 2008). The plugin compares a reference image r(x,y) with a test t(x,y). The two images should have the same size [n_x, n_y]. The plugin is also able to compare a reference with a stack or a test images or with a sequence a test images.

Assessment	Description	Formula
SNR	Signal-to-noise ratio expressed in dB
PSNR	Peak signal-to-noise ratio expressed in dB
RMSE	Root mean square error
MAE	Mean absolute error

Reference

D. Sage, M. Unser, Teaching Image-Processing Programming in Java, IEEE Signal Processing Magazine, vol. 20, no. 6, pp. 43-52, November 2003.

Software

Pre-requirement

The software provided here is a plugin for ImageJ, a general purpose image-processing and image-analysis package. It runs also on the image-processing package Fiji. ImageJ has a public domain licence; it runs on several plateforms: Unix, Linux, Windows, and Mac OS X. It doesn't take more than a couple of minutes to install.

Download

Download SNR_.jar [Version 06.05.2011], the ImageJ's plugin. The plugin consists in one single JAR file; place it into the "plugins" folder of ImageJ. Do not unzip the JAR file.

Java source file

Download SNR_.java [Version 06.05.2011].

Screenshot

screenshot

Conditions of use

You are free to use this software for research purposes, but you should not redistribute it without our consent.
In addition, we expect you to include adequate citations and acknowledgments whenever you present or publish results that are based on it.

daniel.sage@epfl.ch • 30.07.2017