SPATMOD::IMAGE::FILTER_FOCAL_KUANADAPTIVE Class Reference

The Kuan Adaptive Noise Smoothing filter uses a minimum mean square error calculation to estimate the value of the true signal for the center cell in the filter window from the local statistics. More...

#include <spatmod/imagefilterfocal.h>

Inheritance diagram for SPATMOD::IMAGE::FILTER_FOCAL_KUANADAPTIVE:
Inheritance graph
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List of all members.

Public Member Functions

 FILTER_FOCAL_KUANADAPTIVE (STAGE *pSourceImage, bool TakeOwnershipSource, STAGE *pMaskImage, bool TakeOwnershipMask, STATSVALIDITY StatsValidity, double SigmaParam, UINT32 NumFocalRows, UINT32 NumFocalColumns, double AmountFilterPct=100.0)
 FILTER_FOCAL_KUANADAPTIVE (STAGE *pSourceImage, bool TakeOwnershipSource, STATSVALIDITY StatsValidity, double SigmaParam, UINT32 NumFocalRows, UINT32 NumFocalColumns, double AmountFilterPct=100.0)
virtual ~FILTER_FOCAL_KUANADAPTIVE ()

Detailed Description

The Kuan Adaptive Noise Smoothing filter uses a minimum mean square error calculation to estimate the value of the true signal for the center cell in the filter window from the local statistics.

It is similar in approach to the Lee filter, but makes fewer simplifying assumptions in the calculations. The Adaptive Noise Filter calculates the signal estimate from the local mean and variance, and the noise standard deviation (assumed to be constant for the entire image); it assumes a Gaussian (normal) distribution for the speckle noise.


Constructor & Destructor Documentation

SPATMOD::IMAGE::FILTER_FOCAL_KUANADAPTIVE::FILTER_FOCAL_KUANADAPTIVE ( STAGE pSourceImage,
bool  TakeOwnershipSource,
STATSVALIDITY  StatsValidity,
double  SigmaParam,
UINT32  NumFocalRows,
UINT32  NumFocalColumns,
double  AmountFilterPct = 100.0 
)

Constructor.

Parameters:
pSourceImage Source image stage
TakeOwnershipSource Filter takes ownership of source image
StatsValidity How to compute image statisitcs used in filter (fastest should be used for display, exact for processing)
SigmaParam User-controlled weight applied to sigma
NumFocalRows Number of rows in processing window
NumFocalColumns Number of columns in processing window
AmountFilterPct Amount of filter to apply (percentage, 0-100)
SPATMOD::IMAGE::FILTER_FOCAL_KUANADAPTIVE::FILTER_FOCAL_KUANADAPTIVE ( STAGE pSourceImage,
bool  TakeOwnershipSource,
STAGE pMaskImage,
bool  TakeOwnershipMask,
STATSVALIDITY  StatsValidity,
double  SigmaParam,
UINT32  NumFocalRows,
UINT32  NumFocalColumns,
double  AmountFilterPct = 100.0 
)

Constructor with mask to determine areas to filter.

Parameters:
pSourceImage Source image stage
TakeOwnershipSource Filter takes ownership of source image
pMaskImage Mask, must have single component sample
TakeOwnershipMask Filter takes ownership of mask stage and will delete when needed
StatsValidity How to compute image statisitcs used in filter (fastest should be used for display, exact for processing)
SigmaParam User-controlled weight applied to sigma
NumFocalRows Number of rows in processing window
NumFocalColumns Number of columns in processing window
AmountFilterPct Amount of filter to apply (percentage, 0-100)
virtual SPATMOD::IMAGE::FILTER_FOCAL_KUANADAPTIVE::~FILTER_FOCAL_KUANADAPTIVE (  )  [virtual]

Destructor.


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

Generated on Sun Oct 7 21:39:39 2012 for TNTsdk 2012 by  doxygen 1.6.1