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copied!<p>I see a few problems going on here. </p> <p>First, you need to use the <a href="http://opencv.itseez.com/modules/core/doc/operations_on_arrays.html?highlight=mulspectrums#void%20mulSpectrums%28InputArray%20src1,%20InputArray%20src2,%20OutputArray%20dst,%20int%20flags,%20bool%20conj%29" rel="nofollow noreferrer">mulSpectrums</a> function to convolve two FFTs, and <strong>not</strong> <a href="http://opencv.itseez.com/modules/core/doc/operations_on_arrays.html?highlight=multiply#multiply" rel="nofollow noreferrer">multiply</a>.</p> <p>Second, the <code>createGaussianHighPassFilter</code> is only outputting a single channel non-complex filter. You'll probably need to just set the complex channel to <code>Mat::zeros</code> like you did for your input image.</p> <p>Third, don't convert the output of the FFT to log-magnitude spectrum. It will not combine correctly with the filter, and you won't get the same thing when performing the inverse. So, just return <code>complexImg</code> right after the DFT is executed. Log-magnitude spectrum is useful for a human to look at the data, but not for what you are trying to do.</p> <p>Finally, make sure you pay attention to the difference to between the full-complex output of <code>dft</code> and the Complex Conjugate Symmetric (CCS) packed output. Intel has a good page on how this data is formatted <a href="https://software.intel.com/en-us/node/504243" rel="nofollow noreferrer">here</a>. In your case, for simplicity I would keep everything in full-complex mode to make your life easier.</p> <p>Hope that helps!</p>

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