Inpainting

Detailed Description

the inpainting algorithm

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.

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 [266].

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