Class for Wiener Filter \. More...

#include <WienerOp.h>

Inheritance diagram for icl::filter::WienerOp:

Public Member Functions
	WienerOp (const utils::Size &maskSize, icl32f noise=0)
	Constructor that creates a wiener filter object, with specified mask size.
ICLFilter_API void	apply (const core::ImgBase poSrc, core::ImgBase *ppoDst)
	Filters an image using the Wiener algorithm.
icl32f	getNoise () const
	returns the current noise factor
void	setNoise (icl32f noise)
	sets up a new noise factor
Private Attributes
std::vector< icl8u >	m_vecBuffer
	internal buffer for applying the wiener operation
icl32f	m_fNoise
	internal storage for the current noise factor

Detailed Description

Class for Wiener Filter \.

Wiener filters are commonly used in image processing applications to remove additive noise from degraded images, to restore a blurred image.

The following operation is performed on each pixel:

$R(x,y,c) = \mu_m(x,y,c) + \frac{\sigma_m^2(x,y,c)-\nu^2}{\sigma^2} * (S(x,y,c) - \mu_m(x,y,c))$

where:

is the result image at position (x,y) and channel c
$\mu_m(x,y,c)$ is the mean of the image in region m (mask) centered at (x,y), channel c
$\sigma^2_m(x,y,c)$ is the variance of the image in region m (mask) centered at (x,y), channel c
$\sigma^2$ is the image variance
is the source image at position (x,y) and channel c