[Python] Image reconstruction based on Zernike moments using mahotas and opencv

I heard about mahotas following this tutorial in the hope of finding a good implementation of Zernike polynomials in python. It couldn't be easier. However, I need to compare the Euclidean difference between the original image and the one reconstructed from the Zernike moments. I asked mahotas' author if he could possibly add the reconstruction functionality to his library, but he doesn't have time to build it.

How can I reconstruct an image in OpenCV using the Zernike moments provided by mahotas?

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