from
SVD-based Image Quality Measure
by Athi
A Graphical & Numerical image quality measure based on Singular Value Decomposition
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| SampleUsage.m |
%Program for SVD-based Image Quality Measure
%Program Description
% This program outputs a graphical & numerical image quality measure
% based on Singular Value Decomposition.
% For details on the implementation, please refer
% Aleksandr Shnayderman, Alexander Gusev, and Ahmet M. Eskicioglu,
% "An SVD-Based Grayscale Image Quality Measure for Local and Global Assessment",
% IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 15, NO. 2, FEBRUARY 2006.
%
%Author : Athi Narayanan S
%Student, M.E, EST,
%K.S.R College of Engineering
%Erode, Tamil Nadu, India.
%s_athi1983@yahoo.co.in
%http://sites.google.com/site/athisnarayanan/
%Sample Usage
clc;
close all;
clear all;
%Read Input Reference Gray Image
refImg=imread('lena256.bmp');
figure;subplot(121);
imshow(refImg);title('Orginal Image');
%Read Input Distorted Gray Image
distImg = imread('gaussian_noise_10.bmp');
subplot(122);
imshow(distImg);title('Distorted Image');
blkSize = 8;
[graMeasure, scaMeasure] = SVDQualityMeasure(refImg, distImg, blkSize);
figure;imshow(graMeasure);title('Graphical Measure');
disp('Numerical Measure');
disp(scaMeasure);
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