Prev: photomosaic
Next: Fill with custom random
From: kk KKsingh on 7 Jul 2010 12:31
"david carollo" <xdavecx(a)gmail.com> wrote in message <i124q7$dhv$1(a)fred.mathworks.com>...
> ImageAnalyst <imageanalyst(a)mailinator.com> wrote in message <7fef4da0-1e2d-427d-a61d-7cc3078e6c3c(a)i31g2000yqm.googlegroups.com>...
> > I think Walter's answer would be the same.
> > Maybe you can post two images and say what kind of number you'd like
> > to get and how that might be determined, as there are hundreds of
> > ways.
>
>
> Ok, you can view here:
> http://drop.io/etjwikf
> if it want a pw:m9j5hgdctq
>
>
> Thank u!


When i handle two same images ! one is formed by intepolation and one is the original one! I just Subtract two matrix to show residuals
From: Image Analyst on 7 Jul 2010 12:40
After looking at your images, I suggest you start with the PSNR and see if that gives you the answers you want. Here's a demo for you:
(IMPORTANT: YOU MAY HAVE TO JOIN ANY LINES THAT THE NEWSREADER SPLITS INTO TWO).

% function test
% Demo to calculate PSNR of a gray scale image.
% http://en.wikipedia.org/wiki/PSNR
% by ImageAnalyst
clc;
close all;
clear all;
workspace;
% Read in standard MATLAB demo image.
grayImage = imread('cameraman.tif');
[rows columns] = size(grayImage);
subplot(2, 2, 1);
imshow(grayImage, []);
title('Original Grey Scale Image');
set(gcf, 'Position', get(0,'Screensize')); % Maximize figure.
% Add noise to it.
noisyImage = imnoise(grayImage, 'gaussian', 0, 0.003);
subplot(2, 2, 2);
imshow(noisyImage, []);
title('Noisy Image');

% Calculate mean square error.
mseImage = (double(grayImage) - double(noisyImage)) .^ 2;
subplot(2, 2, 3);
imshow(mseImage, []);
title('MSE Image');
mse = sum(sum(mseImage)) / (rows * columns);
% Calculate PSNR (Peak Signal to noise ratio).
PSNR = 10 * log10( 256^2 / mse);
message = sprintf('The mean square error is %.2f\nThe PSNR = %.2f', ...
mse, PSNR);
msgbox(message);
First  |  Prev  | 
Pages: 1 2
Prev: photomosaic
Next: Fill with custom random