child class for computing Richardson-Lucy deconvolution More...
#include <RichardsonLucyDeconvolve.h>
Inheritance diagram for stira::deconvolve::RichardsonLucyDeconvolve:
Public Member Functions | |
| RichardsonLucyDeconvolve (Image *pDegradedImage, regularizationType myRegularizationType=REGULARIZE_NONE, int maxNrOfIterations=20) | |
| constructor without setting PSF, so is still to be determined before run More... | |
| RichardsonLucyDeconvolve (Image *pDegradedImage, Image *pPSF, regularizationType myRegularizationType=REGULARIZE_NONE, int maxNrOfIterations=20) | |
| constructor with PSF More... | |
| ~RichardsonLucyDeconvolve () | |
| destructor | |
| bool | Run () |
| starts the deconvolution if all inputs are available After completion, get the result with GetRestoredImage() from the parent class | |
| regularizationType | GetRegularizationType () |
| sets regularization type | |
| void | SetRegularizationType (regularizationType myType) |
| gets regularization type More... | |
| void | SetEnforceIntensityRange (bool flag) |
| sets flag whether or not to enforce the solution to fit within an intensity range More... | |
| bool | GetEnforceIntensityRange () |
| gets flag whether or not to enforce the solution to fit within an intensity range | |
| void | PrintParameters () |
| prints for diagnostic purposes parameters to standard output | |
 Public Member Functions inherited from stira::deconvolve::IterativeDeconvolve | |
| void | SetLambda (double lambda) |
| sets regularization parameter lambda | |
| double | GetLambda () |
| gets regularization parameter lambda | |
| void | SetStepSize (double stepSize) |
| sets step size | |
| double | GetStepSize () |
| gets step size | |
| int | GetMaximumNrOfIterations () |
| gets the maximum number of iterations | |
| void | SetMaximumNrOfIterations (int nrIter) |
| sets the maximum number of iterations More... | |
| Public Member Functions inherited from stira::deconvolve::DeconvolveMaster | |
| Image * | GetDegradedImage () |
| Gets the degraded input image. | |
| void | SetDegradedImage (Image *pDegradedImage) |
| sets the degraded image to restore More... | |
| Image * | GetPSF () |
| gets the Point Spread Function (PSF) The PSF is a model of the blur; it is how every single point is imaged in the degraded image. For an ideal image, it would be a delta function; in reality, it is mostly a certain spot. | |
| void | SetPSF (Image *pPSF) |
| sets the Point Spread Function (PSF) More... | |
| Image * | GetRestoredImage () |
| gets the result after running the deconvolution | |
| void | SetSigmaNoise (double sigma) |
| sets the noise level More... | |
| double | GetSigmaNoise () |
| gets the noise level | |
Additional Inherited Members | |
| Protected Member Functions inherited from stira::deconvolve::IterativeDeconvolve | |
| IterativeDeconvolve (Image *pDegradedImage, int maxNrOfIterations=20) | |
| constructor Protected constructor; should be called by a child class More... | |
| IterativeDeconvolve (Image *pDegradedImage, Image *pPSF, int maxNrOfIterations=20) | |
| constructor Protected constructor; should be called by a child class More... | |
| ~IterativeDeconvolve () | |
| destructor | |
| void | Initialize (int maxNrOfIterations) |
| initializes all data structures for deconvolution | |
| bool | PrepareCurrentGrids () |
| Prepares grid for restoration Restoration goes per colour band per iteration, so for each step, the pointers mpDegradedGrid, mpLastGrid, mpNewGrid, mpPSFGrid are set here. | |
| Protected Member Functions inherited from stira::deconvolve::DeconvolveMaster | |
| DeconvolveMaster (Image *pDegradedImage) | |
| constructor Sets degraded input image; PSF is estimated or entered in later stage More... | |
| DeconvolveMaster (Image *pDegradedImage, Image *pPSF) | |
| constructor Sets degraded input image and PSF More... | |
| virtual | ~DeconvolveMaster () |
| constructor | |
| bool | AreParentConditionsOK () |
| checks basic conditions are fulfilled for all deconvolution methods | |
| Protected Attributes inherited from stira::deconvolve::IterativeDeconvolve | |
| Image * | mpLastEstimate |
| pointer to the restored image from previous iteration | |
| Image * | mpNewEstimate |
| pointer to the restored image from current iteration | |
| double | mLambda |
| Regularization parameter. | |
| double | mStepSize |
| Step size. | |
| int | mCurrentIterationNr |
| number of the current iteration | |
| int | mCurrentBandNr |
| number of the current band being retsored | |
| int | mMaximumNrOfIterations |
| maximum number of iterations | |
| ArrayGrid< double > * | mpDegradedGrid |
| pointer to a band of the degraded image | |
| ArrayGrid< double > * | mpLastGrid |
| pointer to a band of the restored image from previous iteration | |
| ArrayGrid< double > * | mpNewGrid |
| pointer to a band of the restored image from current iteration | |
| ArrayGrid< double > * | mpPSFGrid |
| pointer to a band of the Point Spread Function | |
| Protected Attributes inherited from stira::deconvolve::DeconvolveMaster | |
| Image * | mpDegradedImage |
| degraded input image | |
| Image * | mpRestoredImage |
| restored image for output | |
| Image * | mpPSF |
| image containing the Point Spread Function | |
| double | mSigmaNoise |
| sigma of the noise | |
Detailed Description
child class for computing Richardson-Lucy deconvolution
INRIA Techical Report N° 5272, July 2004 "3D Microscopy Deconvolution using Richardson-Lucy Algorithm with Total Variation Regularization" Dey, N. and Blanc-F\'{e}raud, L. and Zimmer, C. and Roux, P. and Kam, Z. and Olivo-Marin, J.C and Zerubia, J. ftp://ftp.inria.fr/INRIA/publication/publi-ps-gz/RR/RR-5272.ps.gz
PhD Thesis "Accelerated iterative blind deconvolution, University of Auckland, New Zealand Biggs, David S.C. http://hdl.handle.net/2292/1760
Constructor & Destructor Documentation
| stira::deconvolve::RichardsonLucyDeconvolve::RichardsonLucyDeconvolve | ( | Image * | pDegradedImage, |
| regularizationType | myRegularizationType = REGULARIZE_NONE, |
||
| int | maxNrOfIterations = 20 |
||
| ) |
constructor without setting PSF, so is still to be determined before run
- Parameters
-
pDegradedImage the input image to be restored myRegularizationType type of regularization to be applied maxNrOfIterations maximum number of iterations
| stira::deconvolve::RichardsonLucyDeconvolve::RichardsonLucyDeconvolve | ( | Image * | pDegradedImage, |
| Image * | pPSF, | ||
| regularizationType | myRegularizationType = REGULARIZE_NONE, |
||
| int | maxNrOfIterations = 20 |
||
| ) |
constructor with PSF
- Parameters
-
pDegradedImage the input image to be restored pPSF the input PSF (needs same width and height as pDegradedImage) myRegularizationType type of regularization to be applied maxNrOfIterations maximum number of iterations
Member Function Documentation
| void stira::deconvolve::RichardsonLucyDeconvolve::SetEnforceIntensityRange | ( | bool | flag | ) |
sets flag whether or not to enforce the solution to fit within an intensity range
- Parameters
-
flag boolean value of the flag to set
| void stira::deconvolve::RichardsonLucyDeconvolve::SetRegularizationType | ( | regularizationType | myType | ) |
gets regularization type
- Parameters
-
myType type of regularization to be applied
References stira::imagedata::Image::GetImageName(), and stira::deconvolve::DeconvolveMaster::mpDegradedImage.
The documentation for this class was generated from the following files:
- deconvolve/deconvolve/RichardsonLucyDeconvolve.h
- deconvolve/deconvolve/RichardsonLucyDeconvolve.cpp
