it shows undefined function error in this line * * * [images offsets croppedOriginal] = SynthDataset(im, numImages, blurSigma)*** i am using free version of matlab 2015

clc
clear variables
close all
dbstop if error
%%Prepare the reference image
im = imread('F:\Data\typewrtr.jpg');
im = rgb2gray(im);
im = imresize(im, [ 128 128 ]);
im = im2double(im);
%%Simulate the low-resolution images
numImages = 4;
blurSigma = 1;
* * * *[images offsets croppedOriginal] = SynthDataset(im, numImages, blurSigma)****
%%Compute the Super-Resolution image
[ lhs rhs  ] = SREquations(images, offsets, blurSigma);

K = sparse(1 : size(lhs, 2), 1 : size(lhs, 2), sum(lhs, 1));
initialGuess = K \ lhs' * rhs; % This is an 'average' image produced from the LR images.

HR = GradientDescent(lhs, rhs, initialGuess);
HR = reshape(HR, sqrt(numel(HR)), sqrt(numel(HR)));
%%Visualize the results
ShowLRImages(images);
figure;
subplot(1, 3, 1);
imshow(HR);
title('Super-Resolution');
subplot(1, 3, 2);
imshow(imresize(imresize(croppedOriginal, 0.5), 2));
title('Bicubic Interpolation');
subplot(1, 3, 3);
imshow(croppedOriginal);
title('Reference');
%%Compute the mean-square error of reconstruction.
mse = sum((HR(:) - croppedOriginal(:)) .* (HR(:) - croppedOriginal(:))) / numel(HR);
fprintf(1, 'Reconstruction Mean-square error: %f\n', mse);

Answer 1

[Geoff Hayes]

vignesh - you probably need to download Victor May's submission for the function SynthDataset. You can get the code from this link http://www.mathworks.com/matlabcentral/fileexchange/33839-image-super-resolution-iterative-back-projection-algorithm/content/TestUtils/SynthDataset.m. Make sure that you save this file (or files) within the MATLAB search path.