How to find power spectral density of an image?

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What code is written in MATLAB to find PSD of an image?

Accepted Answer

Baptiste Ottino
Baptiste Ottino on 15 Aug 2017
This might help you.

More Answers (1)

Image Analyst
Image Analyst on 15 Aug 2017
Use fft2() and then take the magnitude of the resulting image.
  2 Comments
norliana khamisan
norliana khamisan on 7 Sep 2017
i also find the same problem to obtain PSD in image processing. currently, i'm using gabor wavelet as feature extraction method and already got the magnitude response from gabor equation.i plan to obtain PSD as a feature from magnitude response gabor, however it indicates error.
the error is Error using fft2 Too many output arguments
Coding as below:
gbreal= exp(-.5*(x_theta.^2/sigma_x^2+y_theta.^2/sigma_y^2)).*cos(2*pi/lambda*x_theta+psi);
gbimaginary= exp(-.5*(x_theta.^2/sigma_x^2+y_theta.^2/sigma_y^2)).*sin(2*pi/lambda*x_theta+psi);
title('filtered image');
imagesc(gbreal);
response_real= conv2(Bearing,gbreal); %Output of filter
imagesc(response_real);
Magnituderesponse_real = abs(response_real);
[t,n] = fft2(Magnituderesponse_real);
Image Analyst
Image Analyst on 7 Sep 2017
Read this http://www.mathworks.com/matlabcentral/answers/13205#answer_18099 then fix the formatting while you're also including the complete error message with the line number and code of the offending line, and provide code for the variables needed in computing gbreal. You can read this and then post a brand new discussion/question, unless you need Prashant's input or want to inform him of your needs.

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