Abstract
A fast time-lens-based line-scan single-pixel camera with multi-wavelength source is proposed and experimentally demonstrated in this paper. A multi-wavelength laser instead of a mode-locked laser is used as the optical source. With a diffraction grating and dispersion compensating fibers, the spatial information of an object is converted into temporal waveforms which are then randomly encoded, temporally compressed and captured by a single-pixel photodetector. Two algorithms (the dictionary learning algorithm and the discrete cosine transform-based algorithm) for image reconstruction are employed, respectively. Results show that the dictionary learning algorithm has greater capability to reduce the number of compressive measurements than the DCT-based algorithm. The effective imaging frame rate increases from 200 kHz to 1 MHz, which shows a significant improvement in imaging speed over conventional single-pixel cameras.
Highlights
Compressive sampling (CS) has attracted considerable attention as a new framework for signal acquisition because it enables sampling sparse signals far below the Nyquist rate yet reconstructing them faithfully [1,2,3,4]
Considering the time required for compressive measurements acquisition and the refresh rate of digital micromirror device (DMD), the actual frame rate of a single-pixel camera may be tens of frames per second, which would seriously limit its applications in fast real-time imaging
An ultrafast imaging technology known as serial time-encoded amplified microscopy (STEAM) has been proposed by Goda [8,9,10,11] for real-time observation of fast dynamic phenomena, having achieved a frame rate of 6.1 MHz and a shutter speed of 440 ps
Summary
Compressive sampling (CS) has attracted considerable attention as a new framework for signal acquisition because it enables sampling sparse signals far below the Nyquist rate yet reconstructing them faithfully [1,2,3,4]. A single-pixel camera with a digital micromirror device (DMD) was proposed by Rice University in 2006 [7]. Considering the time required for compressive measurements acquisition and the refresh rate of DMD, the actual frame rate of a single-pixel camera may be tens of frames per second, which would seriously limit its applications in fast real-time imaging. An ultrafast imaging technology known as serial time-encoded amplified microscopy (STEAM) has been proposed by Goda [8,9,10,11] for real-time observation of fast dynamic phenomena, having achieved a frame rate of 6.1 MHz and a shutter speed of 440 ps. Multiple groups have shown great interest in such a high-speed compressive imaging system [12,13,14]. The number of compressive measurements can be further reduced, which contributes to an increase in imaging speed
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