Inpainting ========== .. highlight:: cpp inpaint ----------- Restores the selected region in an image using the region neighborhood. .. ocv:function:: void inpaint( InputArray src, InputArray inpaintMask, OutputArray dst, double inpaintRadius, int flags ) .. ocv:pyfunction:: cv2.inpaint(src, inpaintMask, inpaintRadius, flags[, dst]) -> dst .. ocv:cfunction:: void cvInpaint( const CvArr* src, const CvArr* inpaint_mask, CvArr* dst, double inpaintRange, int flags ) .. ocv:pyoldfunction:: cv.Inpaint(src, mask, dst, inpaintRadius, flags) -> None :param src: Input 8-bit 1-channel or 3-channel image. :param inpaintMask: Inpainting mask, 8-bit 1-channel image. Non-zero pixels indicate the area that needs to be inpainted. :param dst: Output image with the same size and type as ``src`` . :param inpaintRadius: Radius of a circular neighborhood of each point inpainted that is considered by the algorithm. :param 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