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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
//! @{

    //! @brief Various inpainting algorithms
    //! @sa inpaint
    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,
        /** Performs Frequency Selective Reconstruction (FSR).
        One of the two quality profiles BEST and FAST can be chosen, depending on the time available for reconstruction.
        See @cite GenserPCS2018 and @cite SeilerTIP2015 for details.

        The algorithm may be utilized for the following areas of application:
        1. %Error Concealment (Inpainting).
           The sampling mask indicates the missing pixels of the distorted input
           image to be reconstructed.
        2. Non-Regular Sampling.
           For more information on how to choose a good sampling mask, please review
           @cite GroscheICIP2018 and @cite GroscheIST2018.

        1-channel grayscale or 3-channel BGR image are accepted.

        Conventional accepted ranges:
        - 0-255 for CV_8U
        - 0-65535 for CV_16U
        - 0-1 for CV_32F/CV_64F.
        */
        INPAINT_FSR_BEST = 1,
        INPAINT_FSR_FAST = 2                     //!< See #INPAINT_FSR_BEST
    };

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

    See the original papers @cite He2012 (Shiftmap) or @cite GenserPCS2018 and @cite SeilerTIP2015 (FSR) for details.

    @param src source image
    - #INPAINT_SHIFTMAP: 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.
    - #INPAINT_FSR_BEST or #INPAINT_FSR_FAST: 1-channel grayscale or 3-channel BGR image.
    @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__