Restores the selected region in an image using the region neighborhood

dst = cv.inpaint(src, mask)
dst = cv.inpaint(src, mask, 'OptionName', optionValue, ...)

Input

• src Input 8-bit, 16-bit unsigned or 32-bit float 1-channel, or 8-bit 3-channel image.
• mask Inpainting mask, 8-bit 1-channel image. Non-zero pixels indicate the area that needs to be inpainted.

Output

• dst Output image with the same size and type as src.

Options

• Radius Radius of a circlular neighborhood of each point inpainted that is considered by the algorithm. default 3.0
• Method Inpainting method that could be one of the following:
  • NS (default) Navier-Stokes based method [Navier01].
  • 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 Inpainting for more details.

References

[Navier01]:

Bertalmio, Marcelo, Andrea L. Bertozzi, and Guillermo Sapiro. "Navier-stokes, fluid dynamics, and image and video inpainting." In Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on, vol. 1, pp. I-355. IEEE, 2001.

[Telea04]:

Alexandru Telea. "An image inpainting technique based on the fast marching method". Journal of graphics tools, 9(1):23-34, 2004.