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Guided Anisotropic Diffusion in Tensorflow
thanks for the code; does this repo contain the code for iterative training procedure, described as algorithm1 in the paper.
Thanks for sharing the code.
I have some issues about calculating the diffused image.
A discrete numerical solution can be derived for the anisotropic case using the FTCS method as follows:
where {N, S, W, E} correspond to the pixel above, below, left and right of the pixel under consideration (i, j). And c is based on the gradient magnitude, thus it does not matter if we take forward or backward gradients.
How to determine the sign of diffusion coefficient item, i.e.
diffused = image[:, :, 1:-1, 1:-1] + lambda_ * (
cv[:, 1:, :] * dv[:, :, 1:, :]
- cv[:, :-1, :] * dv[:, :, :-1, :]
+ ch[:, :, 1:] * dh[:, :, :, 1:]
- ch[:, :, :-1] * dh[:, :, :, :-1]
)
Looking forward to your reply.
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