Computational Photography

Modules
	Denoising
	HDR imaging
	Seamless Cloning
	Non-Photorealistic Rendering
	C API

Enumerations
enum	{   cv::INPAINT_NS = 0,   cv::INPAINT_TELEA = 1 }
	the inpainting algorithm More...
enum	{   cv::NORMAL_CLONE = 1,   cv::MIXED_CLONE = 2,   cv::MONOCHROME_TRANSFER = 3 }
enum	{   cv::RECURS_FILTER = 1,   cv::NORMCONV_FILTER = 2 }

Functions
void	cv::decolor (InputArray src, OutputArray grayscale, OutputArray color_boost)
	Transforms a color image to a grayscale image. It is a basic tool in digital printing, stylized black-and-white photograph rendering, and in many single channel image processing applications [127] . More...
void	cv::inpaint (InputArray src, InputArray inpaintMask, OutputArray dst, double inpaintRadius, int flags)
	Restores the selected region in an image using the region neighborhood. More...

Detailed Description

Enumeration Type Documentation

anonymous enum

anonymous enum

the inpainting algorithm

Enumerator
INPAINT_NS  Python: cv.INPAINT_NS
INPAINT_TELEA  Python: cv.INPAINT_TELEA

anonymous enum

anonymous enum

Enumerator
NORMAL_CLONE  Python: cv.NORMAL_CLONE
MIXED_CLONE  Python: cv.MIXED_CLONE
MONOCHROME_TRANSFER  Python: cv.MONOCHROME_TRANSFER

anonymous enum

anonymous enum

Enumerator
RECURS_FILTER  Python: cv.RECURS_FILTER
NORMCONV_FILTER  Python: cv.NORMCONV_FILTER

Function Documentation

decolor()

void cv::decolor	(	InputArray	src,
		OutputArray	grayscale,
		OutputArray	color_boost
	)

Python:
	grayscale, color_boost	=	cv.decolor(	src[, grayscale[, color_boost]]	)

Transforms a color image to a grayscale image. It is a basic tool in digital printing, stylized black-and-white photograph rendering, and in many single channel image processing applications [127] .

Parameters

src	Input 8-bit 3-channel image.
grayscale	Output 8-bit 1-channel image.
color_boost	Output 8-bit 3-channel image.

This function is to be applied on color images.

inpaint()

void cv::inpaint	(	InputArray	src,
		InputArray	inpaintMask,
		OutputArray	dst,
		double	inpaintRadius,
		int	flags
	)

Python:
	dst	=	cv.inpaint(	src, inpaintMask, inpaintRadius, flags[, dst]	)

Restores the selected region in an image using the region neighborhood.

Parameters

src	Input 8-bit, 16-bit unsigned or 32-bit float 1-channel or 8-bit 3-channel image.
inpaintMask	Inpainting mask, 8-bit 1-channel image. Non-zero pixels indicate the area that needs to be inpainted.
dst	Output image with the same size and type as src .
inpaintRadius	Radius of a circular neighborhood of each point inpainted that is considered by the algorithm.
flags	Inpainting method that could be one of the following: INPAINT_NS Navier-Stokes based method [Navier01] INPAINT_TELEA Method by Alexandru Telea [191] .

The function reconstructs the selected image area from the pixel near the area boundary. The function may be used to remove dust and scratches from a scanned photo, or to remove undesirable objects from still images or video. See http://en.wikipedia.org/wiki/Inpainting for more details.

Note

• An example using the inpainting technique can be found at opencv_source_code/samples/cpp/inpaint.cpp
  • (Python) An example using the inpainting technique can be found at opencv_source_code/samples/python/inpaint.py