SNR_CVIP
snr_cvip() - computes signal to noise ratio between two images.
Contents
SYNTAX
snr = snr_cvip(inimage1,inimage2)
Input Parameters include:
- inimage1 - image of M*N size.
- inimage2 - image of M*N size.
Output parameter include:
- snr - signal to noise ratio of two images.
DESCRIPTION
This function calculates the Signal-to-Noise ratio between the two input images. Singal-to-Noise Ratio (SNR) is an objective measure of similarity between two images. For the function to calculate the SNR of two images, the input images have to be of same size and of same band. If the input images are same, the SNR will be Infinite.
Reference
1. Scott E Umbaugh. DIGITAL IMAGE PROCESSING AND ANALYSIS: Applications with MATLAB and CVIPtools, 3rd Edition.
Example
%Read images inimage1 = imread('Butterfly.tif'); inimage2 = imread('castle.bmp'); % Calling function snr = snr_cvip(inimage1,inimage2)
snr =
1.7117 1.8995 1.5217
CREDITS
Author: Lakshmi Gorantla, June 2017
Copyright © 2017-2018 Scott
E Umbaugh
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