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# Inpainting

## inpaint

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

C++:`` void `inpaint`(InputArray src, InputArray inpaintMask, OutputArray dst, double inpaintRadius, int flags)

Python:`` `cv2.``inpaint`(src, inpaintMask, inpaintRadius, flags[, dst]) → dst

C:`` void `cvInpaint`(const CvArr* src, const CvArr* inpaint_mask, CvArr* dst, double inpaintRange, int flags)

Python:`` `cv.``Inpaint`(src, mask, dst, inpaintRadius, flags) → None

  Parameters:

  - src – Input 8-bit 1-channel or 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.
    - INPAINT_TELEA Method by Alexandru Telea [Telea04].

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/python2/inpaint.py

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