#include <RRegularizedAosOp.hpp>
Inheritance diagram for RRegularizedAosOp:


Purpose: Fast Computation of Regularized AOS recursive flow.
Use the Thomas LU model.
Semi-Implicit solver using AOS additive splitting
(I - tau/(1+tau*lambda) * A) * uNew= (uOld + tau*lambda*u0)/(1.0 + tau*lambda)
Should be better than LOD: Rotation invariant.
LOD is sequential (handelling each direction x y z in sequence)
AOS is parallel (handelling each direction x y z at the same time)
AOS build an average operator
Both LOD and AOS are designed for large image restoration, O(N) in time ang space!!!
Papers: "Recursivity and PDE's in image processing",
L. Alvarez, R. Deriche and F Santana, Spain 1998.
"Efficient and Reliable Schemes for Nonlinear Diffusion Filtering",
Joachim. Weickert & all, IEEE transactions on Image Processing, vol7, n3, March 1998.
@ Copyrights: Bernard De Cuyper & Eddy Fraiha 2002, Eggs & Pictures. MIT/Open BSD copyright model.
Public Methods | |
| RRegularizedAosOp (int iterations=8, double t=0.5, double deltaGradient=16.0, double alambda=0.1, double asigma=5.0, bool iirFlag=false, bool nonLinearFlag=true) | |
| virtual | ~RRegularizedAosOp () |
| virtual void | setI0 (RImage *Istart) |
| virtual RImage * | filter (RImage *src, RImage *dest=0) |
| Local full image filtering. | |
| virtual RImage * | selectedFilter (AnImage *mask, RImage *src, RImage *dest=0) |
| Local filtering in a mask area. | |
| virtual void | report (FILE *file) |
Protected Attributes | |
| double | lambda |
| RImage * | I0 |
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Local full image filtering.
Reimplemented from RSimpleAosOp. |
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Local filtering in a mask area.
Reimplemented from RSimpleAosOp. |
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