使用superres从多个图像创建超分辨率图像

I have a sequence of images and I extract a card from it. After this process the card will be correctly aligned and projected back to a plane (warpPerspective). However the quality is too low to e.g. read text from that card. Thus I tried to use the superres module to increase the resolution, however the documentation is pretty shallow and I have yet to find out how I can pass multiple images to the algorithm.

我有一系列图像，我从中提取一张卡片。在此过程之后，卡将正确对齐并投射回飞机（warpPerspective）。然而，质量太低，例如从该卡读取文本。因此，我尝试使用superres模块来提高分辨率，但文档非常浅，我还没有找到如何将多个图像传递给算法。

I tried to implement a custom FrameSource which is basically an adapter to a std::vector but for some reason I get a segfault.

我试图实现一个自定义的FrameSource，它基本上是一个std :: vector的适配器，但由于某种原因我得到一个段错误。

class InterFrameSource : public superres::FrameSource {
  std::vector<cv::Mat> frames;
  std::vector<cv::Mat>::iterator iter;

public:
  InterFrameSource(std::vector<cv::Mat> _frames) : frames(_frames)
  {
    reset();
  }

  virtual void nextFrame(OutputArray _frame)
  {
    _frame.getMatRef().setTo(*iter);
    ++iter;
  }

  virtual void reset() {
    iter = frames.begin();
  }
};

Edit The cv::Mat are all CPU-only.

编辑cv :: Mat都是仅CPU。

1 个解决方案

#1

OK, after two days I finally got it. I needed to inverse the copying logic:

好的，两天后我终于明白了。我需要反转复制逻辑：

virtual void nextFrame(OutputArray _frame)
{
  if (iter == frames.end()) return;

  iter->copyTo(_frame);
  ++iter;
}