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As we know the 2-D DCT is a real-valued kernel and less computational complexity and it used in several image processing applications like image compression etc. 2-D DFT is a complex kernel and high computational complexity, So in which image processing application of 2-D DFT is more advantageous than 2-D DCT?

Why DFT is instead of DCT in image processing applications?

Any suggestions would be greatly appreciated!

Thanks

Sukumar.

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Any place you would like to filter an image with anti symmetric filter.

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  • $\begingroup$ Thanks for the useful information. If you have come across any particular image processing application, could you please mention it here? $\endgroup$ – sukumar Jan 1 at 7:21
  • $\begingroup$ If you happen to design a filter which isn't symmetric (Derivative Filter for instance) you can't filter it in DCT. $\endgroup$ – David Jan 1 at 13:04
  • $\begingroup$ Thanks for the useful information. If anyone knows about any other application, please post it here. $\endgroup$ – sukumar Jan 2 at 7:45

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