Inpainting

Enumerations
enum	{   cv::INPAINT_NS = 0,   cv::INPAINT_TELEA = 1 }

Functions
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

the inpainting algorithm

Enumeration Type Documentation

anonymous enum

anonymous enum

#include <opencv2/photo.hpp>

Enumerator
INPAINT_NS  Python: cv.INPAINT_NS	Use Navier-Stokes based method.
INPAINT_TELEA  Python: cv.INPAINT_TELEA	Use the algorithm proposed by Alexandru Telea [210].

Function Documentation

inpaint()

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

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

#include <opencv2/photo.hpp>

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 cv::INPAINT_NS or cv::INPAINT_TELEA

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