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CSimpleAosOp Class Reference

#include <CSimpleAosOp.hpp>

Inheritance diagram for CSimpleAosOp:

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Collaboration diagram for CSimpleAosOp:

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List of all members.

Detailed Description

Abstract Complex AOS flow.

Author:
Bernard De Cuyper
Version:
0.055
Date:
14/10/2003
 
Purpose:        Fast Computation of Complex AOS recursive flow.
                        Use the Complex 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!!!

                For blurring, we include the complex LOD heat flow which blur with sigma= t^2/2.

Papers:         "Complex Diffusion Processes in Image Filtering",
                                        Guy Gilboa & all, Report 2001, Israel Institut of Technology.
                        "Image Enhancement and Denoising by Complex Diffusion Processes",
                                        Guy Gilboa, Zeevi, Sochen, Report August 2002, Israel Institut of Technology.
                        "Evaluation of Diffusion Schemes for Multi-scale Watershed      Segmentation", 
                                        Erik Dam, 2000.
                        "Recursivity and PDE's in image processing", 
                                        L. Alvarez, R. Deriche and F Santana, Spain 1998.
                        "Efficient and Reliable Schemes for Nonlinear Diffusion Filtering",
                                        J. Weickert & all, IEEE transact. on image processing, vol7, n3, March 1998.
                

@ Copyrights: Bernard De Cuyper & Eddy Fraiha 2003, Eggs & Pictures. MIT/Open BSD copyright model.


Public Methods

 CSimpleAosOp (int iterations=8, double t=0.5, double ctheta=0.001, double k=16.0, double asigma=5.0, bool iirFlag=false, bool nonLinearFlag=true)
virtual ~CSimpleAosOp ()
virtual CImagefilter (CImage *src, CImage *dest=0)
 Local full image filtering.

virtual CImageselectedFilter (AnImage *mask, CImage *src, CImage *dest=0)
 Local filtering in a mask area.

virtual void report (FILE *file)

Protected Methods

virtual void init (CImage *im)
virtual void gradientRegularisation (CImage *im)
virtual RComplex g (int i, int j)=0

Protected Attributes

int m
int w
int h
int iterMax
double tau
double K
double K2
double theta
double sigma
bool iirUsed
bool nonLinear
AbsCImageFilterblurrer
AbsCImageFiltergradient
CImageIsigma
CImageIgradNorme
AbsCTriDiagonalLShCThomasLS
AbsCTriDiagonalLSvCThomasLS


Member Function Documentation

CImage * CSimpleAosOp::filter CImage   src,
CImage   dest = 0
[virtual]
 

Local full image filtering.

Parameters:
src  is CImage* is CImage source channel
dest  is CImage* is CImage result/placeholder
Returns :
CImage* as result,

Implements AbsCImageFilter.

CImage * CSimpleAosOp::selectedFilter AnImage   mask,
CImage   src,
CImage   dest = 0
[virtual]
 

Local filtering in a mask area.

Parameters:
mask  is AnImage* is a ByteImage
src  is CImage* is CImage source channel
dest  is CImage* is CImage result/placeholder
Returns :
CImage* as result,

Reimplemented from AbsCImageFilter.


The documentation for this class was generated from the following files:
SourceForge.net Logo
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.
bern_bdc@hotmail.com