How to provide Convolution in Frequency domain?

Hi everybody,
I have some problem with applying a convolution of the image and Smoothing Kernel in LabView. The idea behind this is, that convolution is a point-wise multiplication in the fourier domain. So firstly I want to apply convolution by standart IMAQ Convolute VI and then, to do basically the same, but manually make FFT of image and Kernel and then make their point-wise multiplication then apply inverse fourier transform and observe the result picture. But finally, I get two different results, but they should be the same, I can not get the idea why. I kindly ask to explain me, if smb. know the reason.
Attachments:
Convolution.vi ‏516 KB
Convolution.jpg ‏70 KB
Convolute.jpg ‏281 KB

Don't forget that the 2D convolution (frequency doman, size X) gives you about the same result.
LabVIEW Champion . Do more with less code and in less time .
Attachments:
Smooth.png ‏4 KB

Similar Messages

  • How ro provide Convolution in Frequency domain

    Hi everybody,
    I have some problem with applying a convolution of the image and Smoothing Kernel in LabView. The idea behind this is, that convolution is a point-wise multiplication in the fourier domain. So firstly I want to apply convolution by standart IMAQ Convolute VI and then, to do basically the same, but manually make FFT of image and Kernel and then make their point-wise multiplication then apply inverse fourier transform and observe the result picture. But finally, I get two different results, but they should be the same, I can not get the idea why.
    Solved!
    Go to Solution.
    Attachments:
    Convolution.vi ‏516 KB
    Convolute.jpg ‏281 KB

    duplicate
    LabVIEW Champion . Do more with less code and in less time .

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