圖像修補Rapid Frequency Selective Reconstruction (FSR)算法（局部相關性）

代碼如下：

#include <opencv2/opencv.hpp>
#include <opencv2/xphoto/inpainting.hpp>
#include <iostream>
using namespace cv;
int main(int argc, char** argv)
{
    // read image and error pattern
    Mat original_, mask_;
    original_ = imread("images/kodim22.png");
    mask_ = imread("images/pattern_random.png", IMREAD_GRAYSCALE);
    // make sure that mask and source image have the same size
    Mat mask;
    resize(mask_, mask, original_.size(), 0.0, 0.0, cv::INTER_NEAREST);
    // distort image
    Mat im_distorted(original_.size(), original_.type(), Scalar::all(0));
    original_.copyTo(im_distorted, mask); // copy valid pixels only (i.e. non-zero pixels in mask)
    // reconstruct the distorted image
    // choose quality profile fast (xphoto::INPAINT_FSR_FAST) or best (xphoto::INPAINT_FSR_BEST)
    Mat reconstructed;
    xphoto::inpaint(im_distorted, mask, reconstructed, xphoto::INPAINT_FSR_FAST);
    imshow("orignal image", original_);
    imshow("distorted image", im_distorted);
    imshow("reconstructed image", reconstructed);
    waitKey();
    return 0;
}

原圖和破壞後的圖：

修復後的圖：

左圖爲快速方法結果，右圖爲best質量方法結果

參考文檔：https://docs.opencv.org/4.2.0/dc/d2f/tutorial_xphoto_inpainting.html