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I think it would've been more interesting to apply a fourier transformation to the image, convert that to audio, and apply the wah-wah (which is essentially just a low-pass filter) to that.


Why would you need a Fourier transformation to apply a filter?


The filters used in the article are meant to be applied on linear sample streams. A RAW image is not a linear sample stream. Re-encoding the image into a linear sample stream, applying the effect and then decoding the resulting signal to a RAW image again could be truer to the idea of "Paris with an echo".


Because then you'd actually be low-passing the frequencies present in the image, instead of some random bits.


Huh? If you can apply an FFT and apply a filter in the frequency domain, what's preventing you from applying the convolution in the spatial domain?




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