PEAK_SNR_CVIP
peak_snr_cvip() - Computes peak signal to noise ratio.
Contents
SYNTAX
psnr = peak_snr_cvip(inimage1,inimage2,L)
Input parameters include :
- inimage1 - image of M*N size.
- inimage2 - image of M*N size.
- L - number of gray levels(e.g., for 8-bits L=256).
Output parameter include :
- Psnr - peak signal to noise ratio of the image.
DESCRIPTION
This function calculates the peak signal-to-noise ratio between images. Peak signal-to-noise ratio is an objective measure used to understand the amount of error in an image. In order to computer Peak SNR, inimage1 and inimage2 have to be of same size and of same bands If both inimage1 and inimage2 are same then, Peak_snr will be infinity.
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'); L = 256; % Calling function psnr = peak_snr_cvip(inimage1,inimage2,L)
psnr =
9.1687 9.6511 9.6390
CREDITS
Author: Lakshmi Gorantla, June 2017
Copyright © 2017-2018 Scott
E Umbaugh
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