Retinex

Functions
VISP_EXPORT void	vp::retinex (vpImage< vpRGBa > &I, const int scale=240, const int scaleDiv=3, const int level=RETINEX_UNIFORM, const double dynamic=1.2, const int kernelSize=-1)
VISP_EXPORT void	vp::retinex (const vpImage< vpRGBa > &I1, vpImage< vpRGBa > &I2, const int scale=240, const int scaleDiv=3, const int level=RETINEX_UNIFORM, const double dynamic=1.2, const int kernelSize=-1)

Detailed Description

Enhance the contrast of a color image using the Retinex technique, based on the Retinex ImageJ plugin:

Retinex filtering is based on Land's theory of image perception, proposed to explain the perceived colour constancy of objects under varying illumination conditions. Several approaches exist to implement the retinex principles, among these the multiscale retinex with colour restoration algorithm (MSRCR) combines colour constancy with local contrast enhancement so images are rendered similarly to how human vision is believed to operate.

This method is based on the Retinex ImageJ plugin written by Francisco Jiménez Hernández, which is a modified implementation of the Retinex filter from the GIMP package by Fabien Pelisson.

Function Documentation

void vp::retinex	(	vpImage< vpRGBa > &	I,
		const int	scale = 240,
		const int	scaleDiv = 3,
		const int	level = RETINEX_UNIFORM,
		const double	dynamic = 1.2,
		const int	kernelSize = -1
	)

Apply the Retinex algorithm (the input image is modified).

Parameters

I	: The color image after application of the Retinex technique.
scale	: Specifies the depth of the retinex effect. Minimum value is 16, a value providing gross, unrefined filtering. Maximum value is 250. Optimal and default value is 240.
scaleDiv	: Specifies the number of iterations of the multiscale filter. Values larger than 2 exploit the "multiscale" nature of the algorithm.
level	: Specifies distribution of the Gaussian blurring kernel sizes for Scale division values > 2: 0, tends to treat all image intensities similarly, 1, enhances dark regions of the image, 2, enhances the bright regions of the image.
dynamic	: Adjusts the color of the result. Large values produce less saturated images.
kernelSize	: Kernel size for the gaussian blur operation. If -1, the kernel size is calculated from the image size.

Examples:

testImgproc.cpp, and tutorial-brightness-adjustment.cpp.

Definition at line 258 of file vpRetinex.cpp.

References vpImage< Type >::getHeight(), and vpImage< Type >::getWidth().

Referenced by vp::retinex().

void vp::retinex	(	const vpImage< vpRGBa > &	I1,
		vpImage< vpRGBa > &	I2,
		const int	scale = 240,
		const int	scaleDiv = 3,
		const int	level = RETINEX_UNIFORM,
		const double	dynamic = 1.2,
		const int	kernelSize = -1
	)

Apply the Retinex algorithm.

Parameters

I1	: The input color image.
I2	: The output color image after application of the Retinex technique.
scale	: Specifies the depth of the retinex effect. Minimum value is 16, a value providing gross, unrefined filtering. Maximum value is Optimal and default value is 240.
scaleDiv	: Specifies the number of iterations of the multiscale filter. Values larger than 2 exploit the "multiscale" nature of the algorithm.
level	: Specifies distribution of the Gaussian blurring kernel sizes for Scale division values 2: 0, tends to treat all image intensities similarly, 1, enhances dark regions of the image, 2, enhances the bright regions of the image.
dynamic	: Adjusts the color of the result. Large values produce less saturated images.
kernelSize	: Kernel size for the gaussian blur operation. If -1, the kernel size is calculated from the image size.

Definition at line 300 of file vpRetinex.cpp.

References vp::retinex().