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details EnhancedLeeFunctor< VALUETYPE > Class Template Reference VIGRA

This function tries to reduce the speckle noise of an image by applying the Enhanced Lee filter. More...

#include <vigra/specklefilters.hxx>

Detailed Description

template<typename VALUETYPE>
class vigra::EnhancedLeeFunctor< VALUETYPE >

This function tries to reduce the speckle noise of an image by applying the Enhanced Lee filter.

This function tries to reduce the speckle noise of an image by means of applying the enhanced Lee filter using a window of given size, a damping factor k, and the equivalent numbers of look (enl). The implementation is according to the article by Lopez & Touzi & Nezry (1990): Adaptive speckle filters and scene heterogenity.The user has to provide a window size, a damping factor k, and the equivalent numbers of look (enl). The implementation is according to the article by Lopez & Touzi & Nezry (1990): Adaptive speckle filters and scene heterogenity.

All restrictions of the called functions applyWindowFunction apply.

Preconditions:

1. 0.0 < k <= 1.0
2. enl > 0

Declarations:

pass 2D array views:

namespace vigra {
template <class T1, class S1,
class T2, class S2>
void
enhancedLeeFilter(MultiArrayView<2, T1, S1> const & src,
MultiArrayView<2, T2, S2> dest,
Diff2D window_shape, float k, int enl,
BorderTreatmentMode border = BORDER_TREATMENT_REPEAT);
}

show deprecated declarations

Usage:

#include <vigra/specklefilters.hxx>
Namespace: vigra

unsigned int w=1000, h=1000;
MultiArray<2, float> src(w,h), dest(w,h);
...
// apply an enhanced Lee filter with a window size of 5x5 and a damping factor of 0.5, where
// the image was composed by 3 equivalent looks:
enhancedLeeFilter(src, dest, Diff2D(5,5), 0.5, 3);

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

© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de)
Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany

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vigra 1.11.1 (Fri May 19 2017)