ImFusion::Math::Deconvolution Namespace Reference

Provides deconvolution of a 1D signal. More...

Detailed Description

Provides deconvolution of a 1D signal.

Functions
bool	wiener (const std::vector< float > &signal, const std::vector< float > &kernel, int kernelCenter, float snrEstimate, std::vector< float > &result)
	https://en.wikipedia.org/wiki/Wiener_deconvolution
bool	richardsonLucy (const std::vector< float > &signal, const std::vector< float > &kernel, int kernelCenter, int iterations, std::vector< float > &result)
	https://en.wikipedia.org/wiki/Richardson%E2%80%93Lucy_deconvolution

Function Documentation

wiener()

bool wiener	(	const std::vector< float > &	signal,
		const std::vector< float > &	kernel,
		int	kernelCenter,
		float	snrEstimate,
		std::vector< float > &	result )

https://en.wikipedia.org/wiki/Wiener_deconvolution

Parameters

kernelCenter	determines which array index is considered as the 0 offset element in the regular convolution equation.
snrEstimate	controls the strength of the deconvolution, should ideally match the SNR of the unconvolved original data.

richardsonLucy()

bool richardsonLucy	(	const std::vector< float > &	signal,
		const std::vector< float > &	kernel,
		int	kernelCenter,
		int	iterations,
		std::vector< float > &	result )

https://en.wikipedia.org/wiki/Richardson%E2%80%93Lucy_deconvolution

Parameters

kernelCenter	determines which array index is considered as the 0 offset element in the regular convolution equation.
iterations	controls how many iterations this algorithm performs.