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License: BSD 2-Clause "Simplified" License
Implement Forward/Backward Difference like CentralDifference.
Add TV with Huber-Norm Regularizer.
Divergence backward difference with 0-boundary, not repeating.
Add L1-Deconvolution Costfunction.
Add multiview support.
Add Kullback-Leibler-Divergence Denoising Costfunction.
Clean up SolverState
s.
Input images and kernels are passed to Computer
s.
Put result into SolverState
and probably use FunctionOp
instead of ComputerOp
.
Parameters for deconvolution should be estimated.
Add squared L2-Norm costfunction:
(A*u - f)^2
AbstractSolverState should be introduced.
Add 3D image support.
Add Kullback-Leibler-Divergence Deconvolution Costfunction.
Refactor TVL1Denoising. Since it is not the only problem of this kind an interface Solver
should be introduced. A solver takes an Ascent
- and Descent
-Computer as inputs.
Implement n-dimensional L2-Norm based on ProjectionOps.
Add Total Generalized Variation (TGV) Regularizer.
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