Improved Video Reconstruction Basing on Single-Pixel Camera By Dual-Fiber Collecting

The single-pixel camera is a new architecture of camera proposed in recent years. The difference between a traditional camera and a single-pixel camera is that one image can be reconstructed by acquiring less amount of data with the latter. Most existing single-pixel cameras only collect data for one light path. In this paper, in order to reduce the impact of measurement noise, we adopt a way of dual-fiber acquisition to collect data. We compared the result of traditional single-fiber acquisition with our proposed dual-fibers acquisition. For video reconstruction, we use a dual-scale matrix as the image measurement matrix which can restore images with two different spatial resolutions as needed. We use the low-resolution video as a preview to acquire optical flow, and then we reconstruct a better-quality video by using the optical flow as a restrictive condition. We built an actual single-pixel camera hardware platform based on dual-fiber acquisition, and we show that our high-quality video can be restored by collecting data from our single-pixel camera.