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mxbastidasr / DAWN_WACV2020

It contains the code for the paper Deep Adaptive Wavelet Network
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About inverse lifting scheme #12

Open JudgeLJX opened 10 months ago

JudgeLJX commented 10 months ago

Hi, thanks for your work,

Could you tell me about 2 questions:

There is no mother wavelet in the second-generation wavelet, is this correct?

And is it able to do the inverse lifting scheme to restore the decomposed coarse details to the original image (only do lifting scheme on a n image)? If so, how to achieve this?

Many thanks.

mxbastidasr commented 10 months ago

Hello!

Thank you for your interest in our work.

So, to answer your first question, basically you can construct a wavelet by using the lifting scheme you just have to modify the predictor and updator function according to the wavelet you want to use.

For the second question, It is possible to obtain the inverse lifting scheme. I am guessing maybe you should freeze the weights for the updator and predictor functions and perform the reverse process. Another idea could be to build an autoncoder with the end2end process. As it was not our main focus we did not code it, but if you want to contribute you are very welcome :)

Regards,

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JudgeLJX commented 10 months ago

Thank you so much for your response.

JudgeLJX commented 10 months ago

Hi, Can I ask one more question? Can you control the percentage of approximation and details at each level of the lifting scheme?