Abstract:
We present a novel architecture for the design of single-photon detecting arrays that captures relative intensity or timing information from a scene, rather than absolute. The proposed method for capturing relative information between pixels or groups of pixels requires very little circuitry, and thus allows for a significantly higher pixel packing factor than is possible with per-pixel TDC approaches. The inherently compressive nature of the differential measurements also reduces data throughput and lends itself to physical implementations of compressed sensing, such as Haar wavelets. We demonstrate this technique for HDR imaging and LiDAR, and describe possible future applications.
摘要:
我们提出了一种用于设计单光子探测阵列的新颖架构,该阵列可从场景中捕获相对强度或时序信息,而不是绝对的。所提出的用于捕获像素或像素组之间的相对信息的方法需要非常少的电路。并且因此允许比每像素TDC方法可能的显著更高的像素填充因子。差分测量的固有压缩性质也降低了数据吞吐量,并有助于压缩感测的物理实现。比如Haar小波。我们演示了这种用于HDR成像和激光雷达的技术,并描述未来可能的应用。