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Minimization problem image processing

Asked by OLGA Jumbo Sanchez on 27 Dec 2017
Latest activity Closed by John D'Errico
on 28 Dec 2017
I'm trying to minimize this function (by p):
p is a NxN image
k is NxN image
tc is NxN image
* is the convolution of image k and image p
grad() is the gradient of the image
||·||_L1 is the L1 norm
||·||_L2 is the L2 norm
theta is a constant
I need a little bit of help coding this one in vector form.

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I have looked at some implementations without the convolution, but this part is just throwing me off. I have read Young's inequality but don't know how to implement it.

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