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/*M///////////////////////////////////////////////////////////////////////////////////////
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#ifndef __OPENCV_INPAINTING_HPP__
#define __OPENCV_INPAINTING_HPP__

/** @file
@date Jul 22, 2014
@author Yury Gitman
*/

#include <opencv2/core.hpp>

namespace cv
{
namespace xphoto
{

//! @addtogroup xphoto
//! @{

    //! various inpainting algorithms
    enum InpaintTypes
    {
        /** This algorithm searches for dominant correspondences (transformations) of
        image patches and tries to seamlessly fill-in the area to be inpainted using this
        transformations */
        INPAINT_SHIFTMAP = 0
    };

    /** @brief The function implements different single-image inpainting algorithms.

    See the original paper @cite He2012 for details.

    @param src source image, it could be of any type and any number of channels from 1 to 4. In case of
    3- and 4-channels images the function expect them in CIELab colorspace or similar one, where first
    color component shows intensity, while second and third shows colors. Nonetheless you can try any
    colorspaces.
    @param mask mask (CV_8UC1), where non-zero pixels indicate valid image area, while zero pixels
    indicate area to be inpainted
    @param dst destination image
    @param algorithmType see xphoto::InpaintTypes
    */
    CV_EXPORTS_W void inpaint(const Mat &src, const Mat &mask, Mat &dst, const int algorithmType);

//! @}

}
}

#endif // __OPENCV_INPAINTING_HPP__