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95 lines
2.6 KiB
C++
95 lines
2.6 KiB
C++
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#include "precomp.hpp"
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#include "opencv2/videostab/deblurring.hpp"
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#include "opencv2/videostab/global_motion.hpp"
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using namespace std;
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namespace cv
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{
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namespace videostab
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{
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float calcBlurriness(const Mat &frame)
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{
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Mat Gx, Gy;
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Sobel(frame, Gx, CV_32F, 1, 0);
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Sobel(frame, Gy, CV_32F, 0, 1);
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double normGx = norm(Gx);
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double normGy = norm(Gx);
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double sumSq = normGx*normGx + normGy*normGy;
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return 1.f / (sumSq / frame.size().area() + 1e-6);
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}
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WeightingDeblurer::WeightingDeblurer()
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{
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setSensitivity(0.1);
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}
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void WeightingDeblurer::deblur(int idx, Mat &frame)
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{
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CV_Assert(frame.type() == CV_8UC3);
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bSum_.create(frame.size());
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gSum_.create(frame.size());
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rSum_.create(frame.size());
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wSum_.create(frame.size());
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for (int y = 0; y < frame.rows; ++y)
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{
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for (int x = 0; x < frame.cols; ++x)
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{
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Point3_<uchar> p = frame.at<Point3_<uchar> >(y,x);
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bSum_(y,x) = p.x;
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gSum_(y,x) = p.y;
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rSum_(y,x) = p.z;
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wSum_(y,x) = 1.f;
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}
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}
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for (int k = idx - radius_; k <= idx + radius_; ++k)
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{
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const Mat &neighbor = at(k, *frames_);
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float bRatio = at(idx, *blurrinessRates_) / at(k, *blurrinessRates_);
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Mat_<float> M = getMotion(idx, k, *motions_);
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if (bRatio > 1.f)
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{
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for (int y = 0; y < frame.rows; ++y)
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{
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for (int x = 0; x < frame.cols; ++x)
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{
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int x1 = M(0,0)*x + M(0,1)*y + M(0,2);
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int y1 = M(1,0)*x + M(1,1)*y + M(1,2);
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if (x1 >= 0 && x1 < neighbor.cols && y1 >= 0 && y1 < neighbor.rows)
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{
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const Point3_<uchar> &p = frame.at<Point3_<uchar> >(y,x);
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const Point3_<uchar> &p1 = neighbor.at<Point3_<uchar> >(y1,x1);
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float w = bRatio * sensitivity_ /
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(sensitivity_ + std::abs(intensity(p1) - intensity(p)));
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bSum_(y,x) += w * p1.x;
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gSum_(y,x) += w * p1.y;
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rSum_(y,x) += w * p1.z;
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wSum_(y,x) += w;
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}
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}
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}
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}
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}
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for (int y = 0; y < frame.rows; ++y)
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{
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for (int x = 0; x < frame.cols; ++x)
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{
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float wSumInv = 1.f / wSum_(y,x);
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frame.at<Point3_<uchar> >(y,x) = Point3_<uchar>(
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bSum_(y,x) * wSumInv, gSum_(y,x) * wSumInv, rSum_(y,x) * wSumInv);
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}
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}
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}
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} // namespace videostab
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} // namespace cv
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