How to run the same code for color image.is any one help me.

%------ GET DEMO IMAGES ----------------------------------------------------------

% Read in a standard MATLAB gray scale demo image.

RGBImage = imread('experimental.JPG');

[rows columns] = size(RGBImage);

% Display the first image.

subplot(2, 2, 1);

imshow(RGBImage, []);

title('Original RGB Image', 'FontSize', fontSize);

set(gcf, 'Position', get(0,'Screensize')); % Maximize figure.

% Get a second image by adding noise to the first image.

noisyImage = imnoise(RGBImage, 'gaussian', 0, 0.003);

% Display the second image.

subplot(2, 2, 2);

imshow(noisyImage, []);

title('Noisy Image', 'FontSize', fontSize);

%------ PSNR CALCULATION ----------------------------------------------------------

% Now we have our two images and we can calculate the PSNR.

% First, calculate the "square error" image.

% Make sure they're cast to floating point so that we can get negative differences.

% Otherwise two uint8's that should subtract to give a negative number

% would get clipped to zero and not be negative.

squaredErrorImage = (double(RGBImage) - double(noisyImage)) .^ 2;

% Display the squared error image.

subplot(2, 2, 3);

imshow(squaredErrorImage, []);

title('Squared Error Image', 'FontSize', fontSize);

% Sum the Squared Image and divide by the number of elements

% to get the Mean Squared Error. It will be a scalar (a single number).

mse = sum(sum(squaredErrorImage)) / (rows * columns);

% Calculate PSNR (Peak Signal to Noise Ratio) from the MSE according to the formula.

PSNR = 10 * log10( 256^2 / mse);

% Alert user of the answer.

message = sprintf('The mean square error is %.2f.\nThe PSNR = %.2f', mse, PSNR);

msgbox(message);

Answer 1

[Mrutyunjaya Hiremath]

@ indrani dalui

Try the attached file.