may be useful: phase unwrapping

Hi,
I implemented a fast and noise-robust phase unwrapping method based on DCTs for AF's python wrapper. You can find the code and info about the corresponding [publication](http://www.mdpi.com/2313-433X/1/1/31) in the attached zip.
The DCT originates from [here](http://fourier.eng.hmc.edu/e161/lectures/dct/node2.html) and is normalized to reproduce results like [Scipy's DCT II and III](https://docs.scipy.org/doc/scipy/reference/generated/scipy.fftpack.dct.html). It interleaves the input array instead of mirror reflecting it in order to keep the FFTs the same size.
The algorithm is viable for not-too-noisy C2 smooth phase maps and can be used stand alone or as first guess for the preconditioned conjugate gradient method. When sparse support comes to AF I'll implement PCG phase unwrapping.
Use this as you see fit.

[phase_unwrapping.zip](https://github.com/arrayfire/arrayfire-python/files/224653/phase_unwrapping.zip)

Comece revisando o phase_unwrapping.zip anexado e o wrapper Python do repositório para determinar como, ou se, o método proposto deve ser exposto. Leia a publicação vinculada e as referências de DCT e, em seguida, estabeleça o escopo da integração e os testes necessários antes de considerar o trabalho concluído.

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