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FDistanceAosOp Class Reference

#include <FDistanceAosOp.hpp>

Inheritance diagram for FDistanceAosOp:

[legend]Collaboration diagram for FDistanceAosOp:

[legend]List of all members.

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Detailed Description

Abstract Float simple AOS flow.

Author:

Bernard De Cuyper

Version:

0.055

Date:

14/09/2002

 
Purpose:        Fast Computation of Simple AOS recursive flow.
                        Use the 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:         "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
	FDistanceAosOp (FImage *edgeDistance=0, int iterations=8, float t0=0.0, float tMax=20.0, float k=16.0, float asigma=5.0, bool iirFlag=false, bool nonLinearFlag=true)
virtual	~FDistanceAosOp ()
virtual void	setEdgeDistance (FImage *distanceMap)
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 Methods
virtual float	getTau (int x, int y)
virtual void	init (FImage *im)
virtual void	gradientRegularisation (FImage *im)
virtual float	g (int i, int j)=0
Protected Attributes
int	m
int	w
int	h
int	iterMax
float	tmin
float	tmax
float	K
float	K2
FImage *	distanceMapEdges
float	sigma
bool	iirUsed
bool	nonLinear
AbsFImageFilter *	blurrer
AbsFImageFilter *	gradient
FImage *	Isigma
FImage *	IgradNorme
AbsFTriDiagonalLS *	hThomasLS
AbsFTriDiagonalLS *	vThomasLS

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Member Function Documentation

FImage * FDistanceAosOp::filter (  FImage *    src, FImage *    dest = 0 )  [virtual]

Local full image filtering. Parameters: src  is FImage* is FImage source channel dest  is FImage* is FImage result/placeholder Returns : FImage* as result, Implements AbsFImageFilter. Reimplemented in FDistRegularized1AosOp.

FImage * FDistanceAosOp::selectedFilter (  AnImage *    mask, FImage *    src, FImage *    dest = 0 )  [virtual]

Local filtering in a mask area. Parameters: mask  is AnImage* is a ByteImage src  is FImage* is FImage source channel dest  is FImage* is FImage result/placeholder Returns : FImage* as result, Reimplemented from AbsFImageFilter. Reimplemented in FDistRegularized1AosOp.

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

• FDistanceAosOp.hpp
• FDistanceAosOp.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.