RESUMEN
The state-of-the-art infrared camera suffers from the trade-off between sensitivity and cost. The bolometer infrared sensors are low resolution and slow speed while the quantum photodetectors are bulky and expensive. In this paper, the novel low dimensional material Carbon Nanotube (CNT) based non-cryogenic photodetector is proposed to detect infrared (IR) irradiance. The photoconductance and photovoltaic effect need to be distinguished to fully understand and improve nano IR detector performance. The robust test bench using digital microscope and precise five axis substage is used to measure detector photoresponse. The relative position between nanoscale sensor and IR beam is localized by mapping the photocurrent on laser spot. The distance between photodetector and infrared laser lens is leveraged by digital microscope. The experimental results show photovoltaic quantum effect dominates CNT-Metal Schottky based IR detector and the photoresponse is dependent on contact size and metal materials. The photoresponsivity can reach to 16.8 µA/mW at 808 nm wavelength. The proposed method will be applicable for 1D/2D nanoscale material based photodiode characterization.
RESUMEN
High-speed cameras explore more details than normal cameras in the time sequence, while the conventional video sampling suffers from the trade-off between temporal and spatial resolutions due to the sensor's physical limitation. Compressive sensing overcomes this obstacle by combining the sampling and compression procedures together. A single-pixel-based real-time video acquisition is proposed to record dynamic scenes, and a fast nonconvex algorithm for the nonconvex sorted â1 regularization is applied to reconstruct frame differences using few numbers of measurements. Then, an edge-detection-based denoising method is employed to reduce the error in the frame difference image. The experimental results show that the proposed algorithm together with the single-pixel imaging system makes compressive video cameras available.