Acquiring the phase information could significantly enhance the potential of compressed ultrafast photography (CUP) for frontier scientific exploration as well as engineering application. In this paper, we present a novel compressed ultrafast onaxis holographic imaging system that combines compressed ultrafast photography and on-axis holography techniques, to achieve phase measurements in ultrafast temporal resolution. For data acquisition, the laser passes through the dynamic scene to form the object light, and then converges with the reference light to produce a hologram. This hologram is recorded in a compressed snapshot using spatial encoding, temporal shearing and spatio-temporal integration techniques. For image reconstruction, we propose an algorithm combining the plug-and-play generalized alternating projection (PnP-GAP) and FFDNet deep denoising prior. Simulation results validate the effectiveness of our proposed method.
KEYWORDS: Image restoration, Sampling rates, Light sources and illumination, Modulation, Digital signal processing, Cameras, Target detection, Signal to noise ratio, Signal intensity, Sensors
Orthogonal transform based single-pixel imaging methods always improve the quality of recovered images, but they should take two-fold measurements of the illumination pattern the under full sampling. To decrease the number of measurements for time efficient imaging, we present a method that only uses the positive patterns to acquire measurement values and reconstruct images, the number of measurements can be reduced by 1/2. The robustness of the method is guaranteed by eliminating the random noise with the characteristics of orthogonal transform series. Simulation and experimental results based on discrete cosine transform single-pixel imaging, Hadamard transform single-pixel imaging and discrete W transform single-pixel imaging validate the effectiveness of the proposed method.
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