DeWAFF Class Reference

Deceived Weighted Average Filters Framework class. It applies a filter where the intput is decoupled in to a weighting input and a main input so it is possible to deceive the filter with a manipulated input and to still use the original input weighting values for the processing. More...

Public Member Functions
	DeWAFF ()
	DeWAFF class constructor. Sets the lambda parameter for the Laplacian deceive.
Mat	DeceivedBilateralFilter (const Mat &inputImage, int windowSize, double spatialSigma, double rangeSigma)
	Parameter for the Laplacian deceive. More...
Mat	DeceivedScaledBilateralFilter (const Mat &inputImage, int windowSize, double spatialSigma, double rangeSigma)
	Apply a Deceived Scaled Bilateral Filter to an image. Similar to the Deceived Bilateral Filter, but the weighting image is low pass filtered. More...
Mat	DeceivedNonLocalMeansFilter (const Mat &inputImage, int windowSize, int neighborhoodSize, double spatialSigma, double rangeSigma)
	Apply a Deceived Non Local Means Filter to an image. Computationally demanding algorithm, can take as much as ten times more than the other filters in the framework. More...
Mat	DeceivedGuidedFilter (const Mat &inputImage, int windowSize, double spatialSigma, double rangeSigma)
	Apply a Deceived Guided Filter to an image. The fastest WAF for the DeWAFF yet. More...

Public Attributes
double	usmLambda

Detailed Description

Deceived Weighted Average Filters Framework class. It applies a filter where the intput is decoupled in to a weighting input and a main input so it is possible to deceive the filter with a manipulated input and to still use the original input weighting values for the processing.

Definition at line 25 of file DeWAFF.hpp.

Member Function Documentation

DeceivedBilateralFilter()

Mat DeWAFF::DeceivedBilateralFilter	(	const Mat &	inputImage,
		int	windowSize,
		double	spatialSigma,
		double	rangeSigma
	)

Parameter for the Laplacian deceive.

Apply a Deceived Bilateral Filter to an image.

Parameters

inputImage	input image
windowSize	processing window size, has to be odd numbered and greater or equal than 3
spatialSigma	spatial standard deviation
rangeSigma	range or radiometric standard deviation

Returns

\[ Y_{\psi_{\text BF}}(p) = \left( \sum_{m \subset \Omega} \psi_{\text BF}(U, m, p) \right)^{-1} \left( \sum_{m \subset \Omega} \psi_{\text BF}(U, p, m) \, \hat{f}_{\text USM}(m) \right) \]

where

\[ \hat{f}_{\text USM} = U + \lambda \, \text{LoG} \]

Definition at line 22 of file DeWAFF.cpp.

DeceivedGuidedFilter()

Mat DeWAFF::DeceivedGuidedFilter	(	const Mat &	inputImage,
		int	windowSize,
		double	spatialSigma,
		double	rangeSigma
	)

Apply a Deceived Guided Filter to an image. The fastest WAF for the DeWAFF yet.

Parameters

inputImage	input image
windowSize	processing window size, has to be odd numbered and greater or equal than 3
spatialSigma	spatial standard deviation
rangeSigma	range or radiometric standard deviation

Returns

\[ Y_{\psi_{\text GF}}(p) = \frac{1}{|\Omega|} \sum_{k:i \in \Omega_k} (a_k(U, \hat{f}_{\text USM}) \, U(m) + b_k(U, \hat{f}_{\text USM})\]

where

\[ \hat{f}_{\text USM} = U + \lambda \, \text{LoG} \]

Definition at line 86 of file DeWAFF.cpp.

DeceivedNonLocalMeansFilter()

Mat DeWAFF::DeceivedNonLocalMeansFilter	(	const Mat &	inputImage,
		int	windowSize,
		int	neighborhoodSize,
		double	spatialSigma,
		double	rangeSigma
	)

Apply a Deceived Non Local Means Filter to an image. Computationally demanding algorithm, can take as much as ten times more than the other filters in the framework.

Parameters

inputImage	input image
windowSize	processing window size, has to be odd numbered and greater or equal than 3
neighborhoodSize	spatial standard deviation
spatialSigma	range or radiometric standard deviation
rangeSigma	output image

Returns

\[ Y_{\psi_{\text NLM}}(p) = \left( \sum_{m \subset \Omega} \psi_{\text NLM}(U, m, p) \right)^{-1} \left( \sum_{m \subset \Omega} \psi_{\text NLM}(U, p, m) \, \hat{f}_{\text USM}(m) \right) \]

where

\[ \hat{f}_{\text USM} = U + \lambda \, \text{LoG} \]

Definition at line 66 of file DeWAFF.cpp.

DeceivedScaledBilateralFilter()

Mat DeWAFF::DeceivedScaledBilateralFilter	(	const Mat &	inputImage,
		int	windowSize,
		double	spatialSigma,
		double	rangeSigma
	)

Apply a Deceived Scaled Bilateral Filter to an image. Similar to the Deceived Bilateral Filter, but the weighting image is low pass filtered.

Parameters

inputImage	input image
windowSize	processing window size, has to be odd numbered and greater or equal than 3
spatialSigma	spatial standard deviation
rangeSigma	range or radiometric standard deviation

Returns

\[ Y_{\psi_{\text SBF}}(p) = \left( \sum_{m \subset \Omega} \psi_{\text SBF}(U^s, U, m, p) \right)^{-1} \left( \sum_{m \subset \Omega} \psi_{\text SBF}(U^s, U, m, p) \, \hat{f}_{\text USM}(m) \right) \]

where

\[ \hat{f}_{\text USM} = U + \lambda \, \text{LoG} \]

Definition at line 43 of file DeWAFF.cpp.

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

• DeWAFF.hpp
• DeWAFF.cpp