void sharpen(const cv::Mat &image, cv::Mat &result) {result.create(image.size(), image.type());std::cout << image.size() << std::endl;int col = image.cols;int row = image.rows;int channels = image.channels();for (int i = 1; i < row - 1; i++ ) {// 必须添加const，因为image是const的const uchar* previous_row = image.ptr<uchar>(i - 1);const uchar* current_row = image.ptr<uchar>(i);const uchar* next_row = image.ptr<uchar>(i + 1);uchar* out_line = result.ptr<uchar>(i);for (int j = channels; j < (col - 1)*channels; j++) {// cv::saturate_cast<uchar>将输入截断在0到255*out_line++ = cv::saturate_cast<uchar>(5 * current_row[j] - current_row[j - channels] - current_row[j + channels]- previous_row[j] - next_row[j]);}}result.row(0).setTo(cv::Scalar(0,0,0));result.row(row - 1).setTo(cv::Scalar(0, 0, 0));result.col(0).setTo(cv::Scalar(0, 0, 0));result.col(col - 1).setTo(cv::Scalar(0,0,0));
}

void sharpen2D(const cv::Mat image, cv::Mat &result) {cv::Mat kernel(3, 3, CV_32F, cv::Scalar(0));kernel.at<float>(1, 1) = 5;kernel.at<float>(0, 1) = -1;kernel.at<float>(1, 0) = -1;kernel.at<float>(2, 1) = -1;kernel.at<float>(1, 2) = -1;cv::filter2D(image, result, image.depth(), kernel);
}

  cv::Mat image = cv::imread("test.jpg");std::cout << (int)image.data << std::endl;// 自行锐化滤波cv::Mat image1;sharpen(image, image1);show(image1, "锐化");cv::Mat image2;sharpen2D(image, image2);show(image2, "API锐化");

cv::GaussianBlur(image,result,cv::Size(5, 5),  // 窗口大小1.5  // sigma
);

cv::Mat gauss = cv::getGaussianKernel(5, 1.5, CV_32F);
cv::sepFilter2D(image, result, -1, gauss, gauss);  // -1代表输入图深度
cv::imshow("双一维高斯滤波", result);