How can I remove the dc component from an Image?
11 views (last 30 days)
Show older comments
I wrote this code, it is right?
subplot(2,2,1);
I = rgb2gray(imread('L3S3T2.jpg'));
imshow(I);
FT = fft2(I);
FT(1,1) = 0;
subplot(2,2,3);
I2 = ifft2(FT);
imshow(I2);
0 Comments
Answers (3)
Tricky
on 8 May 2012
If I'm not wrong the dc component removal from image can also be done like this
I = rgb2gray(imread('L3S3T2.jpg'));
dc=mean2(I);
I1=I-dc;
imhsow(I1);
Can someone explain if there is any difference between the above mentioned Fourier method and this method.
2 Comments
Bjorn Gustavsson
on 8 May 2012
Numerical precision and computation time - though the second might not be too bad...
...I can't see any reason to go through all that fft-ing just to remove the average.
Ivan van der Kroon
on 18 May 2011
class input for fft2 should be double or single and you are using unit8. I get no errors, but this is probably not the fft2 you desire. Remember that fft2(I)=fft(fft(I).')
You are right though, that the (1,1) element is the zero-frequency or dc. But if this is the only thing you want to do just subtract the mean.
0 Comments
Image Analyst
on 8 May 2012
Just subtract the mean gray level, being sure to cast the image to single to allow negative values:
meanGrayLevel = mean2(I); % This is a double.
no_DC_Image = double(I) - meanGrayLevel; % Casting I to double is necessary!!!
It's not necessary to use FFT to eliminate the DC components. But if you did want to do it that way, you'd just set the first element of the FT image to zero, and then inverse transform, like you did.
0 Comments
Communities
More Answers in the Power Electronics Control
See Also
Categories
Find more on Fourier Analysis and Filtering in Help Center and File Exchange
Products
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!