Compressive High Speed Video Acquisition
نویسندگان
چکیده
Traditional video capture is limited by the trade-off between spatial and temporal resolution. When capturing videos of high temporal resolution, the spatial resolutions decreases due to bandwidth limitations in the capture system. Achieving both high spatial and temporal resolution is only possible with highly specialized and very expensive hardware; although the bandwidth is higher, the same basic trade-off remains. In this paper, we make use of a single-shot, high-speed video capture system, in order to overcome this limitation. It is based on compressive sensing, and relies on dictionary learning for sparse video representation. This allows capturing a video sequence by coding the temporal information in a single frame, and then reconstructing the full video sequence from this single coded image. We perform an in-depth analysis of the parameters of influence in the system, providing insights for future developments of similar systems.
منابع مشابه
An In-Depth Analysis of Compressive Sensing for High Speed Video Acquisition
Compressive sensing [1, 2] is a novel technique that has been gaining increasing importance in the last years. It states that a signal can be perfectly recovered when sampled at rates below those dictated by the Shannon-Nyquist theorem provided this signal is sparse in some basis (or dictionary) and the sampling pattern meets some conditions. One of the applications showing the great potential ...
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