这个代码完全不能用。得到的画面是黑乎乎的。
我也搞不明白，这样的东西也好意思放出来。
- 代码
#include <opencv2/opencv.hpp> #include <opencv2/ximgproc.hpp> using namespace std; using namespace cv; cv::Mat computeDarkChannel(const cv::Mat& src, int patchSize = 15) { CV_Assert(src.type() == CV_8UC3); cv::Mat dark = cv::Mat::zeros(src.size(), CV_8UC1); int radius = patchSize / 2; // 边界扩展：采用镜像填充避免边缘畸变 cv::Mat padded; cv::copyMakeBorder(src, padded, radius, radius, radius, radius, cv::BORDER_REFLECT); for (int i = 0; i < src.rows; ++i) { for (int j = 0; j < src.cols; ++j) { uchar minVal = 255; for (int di = 0; di < patchSize; ++di) { for (int dj = 0; dj < patchSize; ++dj) { const cv::Vec3b& pixel = padded.at<cv::Vec3b>(i + di, j + dj); uchar tempMin = std::min({pixel[0], pixel[1], pixel[2]}); minVal = std::min(minVal, tempMin); } } dark.at<uchar>(i, j) = minVal; } } return dark; } cv::Mat refineTransmission(const cv::Mat& transmission, const cv::Mat& guide, int r = 60, double eps = 1e-3) { cv::Mat refined; cv::ximgproc::guidedFilter(guide, transmission, refined, r, eps); return refined; } cv::Mat dehazeImage(const cv::Mat& hazy, int patchSize = 15, double omega = 0.95, double t0 = 0.1) { cv::Mat darkChannel = computeDarkChannel(hazy, patchSize); cv::Scalar meanIntensity = cv::mean(hazy)[0]; double A = *std::max_element(darkChannel.begin<uchar>(), darkChannel.end<uchar>()) * 255.0 / 255.0; cv::Mat trans = 1.0 - omega * (darkChannel / (double)A); trans = refineTransmission(trans, hazy, 60, 1e-3); cv::threshold(trans, trans, t0, t0, cv::THRESH_TOZERO); cv::Mat result = cv::Mat::zeros(hazy.size(), hazy.type()); for (int i = 0; i < hazy.rows; ++i) { for (int j = 0; j < hazy.cols; ++j) { cv::Vec3f pixel = hazy.at<cv::Vec3b>(i, j); float t = trans.at<uchar>(i, j) / 255.0f; t = std::max(t, (float)t0); for (int c = 0; c < 3; ++c) { result.at<cv::Vec3b>(i, j)[c] = cv::saturate_cast<uchar>((pixel[c] - A) / std::max(t, 0.01f) + A); } } } return result; } int main(int argc, char** argv) { cv::Mat image = cv::imread("fog.png"); if (image.empty()) { std::cerr << "Error: Could not load image." << std::endl; return -1; } cv::imshow("Hazy Input", image); cv::Mat defog = dehazeImage(image); cv::imshow("defog", defog); cv::waitKey(0); }- 脚本
OPENCV_INCLUDE=/usr/include/opencv4 # OPENCV_LIB=/usr/local/lib OPENCV_LIB=/usr/lib/x86_64-linux-gnu EXE_FILE=defog CODE_FILE=defog1.cpp rm ${EXE_FILE} reset g++ \ -Wl,-rpath=.:${OPENCV_LIB} \ ${CODE_FILE} \ -o ${EXE_FILE} \ -I${OPENCV_INCLUDE} \ -L${OPENCV_LIB} \ -lopencv_core -lopencv_highgui \ -lopencv_features2d -lopencv_imgproc \ -lopencv_videoio -lopencv_videostab \ -lopencv_optflow -lopencv_tracking \ -lopencv_video -lopencv_bgsegm \ -lopencv_calib3d -lopencv_ximgproc \ -lopencv_imgcodecs # `pkg-config --cflags --libs opencv4` ./${EXE_FILE} fog.png
