#include <FRegularizedAosOp.hpp>
Inheritance diagram for FRegularizedAosOp:
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 | |
FRegularizedAosOp (int iterations=8, float t=0.5, float deltaGradient=16.0, float alambda=0.1, float asigma=5.0, bool iirFlag=false, bool nonLinearFlag=true) | |
virtual | ~FRegularizedAosOp () |
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 | |
float | lambda |
FImage * | I0 |
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Local full image filtering.
Reimplemented from FSimpleAosOp. |
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Local filtering in a mask area.
Reimplemented from FSimpleAosOp. |