![]() ![]() Therefore, how to efficiently realize a large-format SPAD array is still an unresolved problem. To realize format SPAD array, either column-wise shared periphery circuits or 3D stacking technology is used, facing the trade-off between the readout speed and high cost, with non-reduced data bandwidth. Furthermore, the growing requirement of bandwidth with the increase of the pixel number poses another challenge. However, due to the working principle of SPAD, the requirement of the self-contained controlling circuit, in-pixel or periphery data acquisition, or storage memory become the bottleneck for fabricating the SPAD arrays with a large pixel number. Realizing a two-dimensional SPAD sensor with a large pixel number is a long-pursued goal, which could be readily applied for computer vision tasks. ![]() To demonstrate our method, we design and fabricate a CS-SPAD sensor chip, build a prototype imaging system, and demonstrate the proposed on-chip snapshot compressive sensing method on the MINIST dataset and real handwritten digital images, with both qualitative and quantitative results.ĭue to its digitized sensing nature of light and high sensitivity, single-photon avalanche diode (SPAD) imagers have been applied in a variety of applications, such as low light imaging, high dynamic range imaging, etc. To process the compressively sensed data, we propose a convolution neural-network-based algorithm dubbed CSSPAD-Net which could realize both high-fidelity scene reconstruction and classification. Taking advantage of the digital counting nature of SPAD sensing, we propose to design the circuit connection between the sensing unit and the readout electronics for compressive sensing. ![]() To reduce both the required sensor area for readout circuits and the data throughput for SPAD array, in this paper, we propose a snapshot compressive sensing single-photon avalanche diode (CS-SPAD) sensor which can realize on-chip snapshot-type spatial compressive imaging in a compact form. Single-photon avalanche diodes (SPADs) are novel image sensors that record photons at extremely high sensitivity. ![]()
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