I have a question in image processing, this code shows how to add noise to the image and then retrieve it again ... The problem when retrieving the image error occurs and show the image that was retrieved in white
1 visualizzazione (ultimi 30 giorni)
Mostra commenti meno recenti
Ahmed Grera
il 2 Set 2017
Commentato: Image Analyst
il 3 Set 2017
img = imread( ('eight.tif') ); % read image, use gray-level images here.
A = imnoise(img,'Gaussian',0,1);
IMG = fft2( img ); % Fourier of img
sz = size( img );
G = fspecial('gaussian' ,[5,5]); % create a filter with std sigma same size as img
%# Filter it
h = imfilter(A,G,'same');
H = fft2( h ); % Fourier of filter
F = IMG.*H; % filter in Fourier space
f = ifft2( F ); % back to spatial domain.
figure, imagesc(f);title('Gaussian filter in Frequency Domain')
figure,imshow(img),title('Original Image');
figure,imshow(A),title('Noisy Image');
imshow(f)
% Calculate MSE, mean square error.
img =im2double(img);
f =im2double(f);
[M N] = size(img);
error0 = img - f;
Mean_Square_Error = sum(sum(error0 .* error0)) / (M * N)
0 Commenti
Risposta accettata
Walter Roberson
il 2 Set 2017
The result of
img = imread( ('eight.tif') ); % read image, use gray-level images here.
is almost certainly going to be one of the integer data types.
The result of
f = ifft2( F ); % back to spatial domain.
is going to be double precision.
>> min(f(:)),max(f(:))
ans =
2241610061
ans =
2319637632
... that is not even in the same range.
0 Commenti
Più risposte (1)
Image Analyst
il 3 Set 2017
Try this, using [] to scale the image before display:
imshow(f, []);
2 Commenti
Vedere anche
Categorie
Scopri di più su Image Processing Toolbox in Help Center e File Exchange
Prodotti
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!