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RAosPeronaGnOp Class Reference

#include <RAosPeronaGnOp.hpp>

Inheritance diagram for RAosPeronaGnOp:

[legend]Collaboration diagram for RAosPeronaGnOp:

[legend]List of all members.

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Detailed Description

FAB AOS Perona proto.

Author:

Bernard De Cuyper

Version:

0.95

Date:

4/10/2003

 
Purpose:        FAB diffusion may be unstable if edges are too strong.
           It allow to blurr/deblurr adaptively. We reduce deblurring inversely to number of iterations.

                We replace the old Perona barrier by the combined forward/backward. The process can be instable.


                        Fast Computation of Perona recursive flow.
                        Thomas LU model.
                        Semi-Implicit solver using AOS additive splitting

            (I - tau * A) * uNew=  uOld

                        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:         "Forward and Backward Diffusion Processes for Adaptive Image Enhancement and Denoising.",
                        Guy Gilboa, Nir Sochen and Yehoshua Y. Zeevi, IEEE Trans. on Image Processing, vol ?, no ? 2002

                        "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
	RAosPeronaGnOp (int iterations=8, double t=0.5, double kf=16.0, double asigma=5.0, int nG=2, bool iirFlag=false, bool nonLinearFlag=true)
virtual	~RAosPeronaGnOp ()
virtual void	report (FILE *file)
Protected Methods
virtual double	g (int i, int j)
Protected Attributes
int	ng
int	mg
double	alpha
double	kb
double	wb

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The documentation for this class was generated from the following files:

• RAosPeronaGnOp.hpp
• RAosPeronaGnOp.cpp

Restoreinpaint sourceforge project `C++/Java Image Processing, Restoration, Inpainting Project'.

Bernard De Cuyper: Open Project Leader: Concept, design and development. Bernard De Cuyper & Eddy Fraiha 2002, 2003. Bernard De Cuyper 2004. Open and free, for friendly usage only. Modifications on Belgium ground of this piece of artistic work, by governement institutions or companies, must be notified to Bernard De Cuyper.