#include <FDistRegularized1AosOp.hpp>
Inheritance diagram for FDistRegularized1AosOp:


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.
"One Step Deblurring and Denoising Color Images Using Partial Differential Equations",
Danny Barash, HP Lab Israel, Technion, Haifa, Israel, 2000.
@ Copyrights: Bernard De Cuyper & Eddy Fraiha 2004, Eggs & Pictures. MIT/Open BSD copyright model.
Public Methods | |
| FDistRegularized1AosOp (FImage *edgeDistance=0, int iterations=1, int psfsz=5, float t0=0.0, float tMax=20.0, float deltaGradient=1.0, float aalpha=0.01, float asigma=0.25, bool nonLinearFlag=true) | |
| virtual | ~FDistRegularized1AosOp () |
| virtual void | setI0 (FImage *Istart) |
| virtual FImage * | filter (FImage *src, FImage *dest=0) |
| Local full image filtering. | |
| virtual FImage * | selectedFilter (AnImage *mask, FImage *src, FImage *dest=0) |
| Local filtering in a mask area. | |
| virtual void | report (FILE *file) |
Protected Attributes | |
| int | psfSize |
| float | alpha |
| FImage * | I0 |
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Local full image filtering.
Reimplemented from FDistanceAosOp. |
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Local filtering in a mask area.
Reimplemented from FDistanceAosOp. |
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