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Unlike some active ultrafast imaging techniques that need specific illumination light or a pump–probe technique that requires multiple measurements, CUP is a single-shot and passive ultrafast imaging technique. Recently, various ultrafast imaging techniques have been developed, including compressed ultrafast photography (CUP).
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Ultrafast imaging has played an indispensable role in photochemistry, biomedicine, microfluidics, shock waves, and plasma physics. This study can promote the applications of CUP in related fields, and it will also enable a new strategy for recovering high-dimensional signals from low-dimensional detection. Our theoretical simulation and experimental results validate the superior performance of the AL + DL algorithm in image fidelity over conventional AL and TwIST algorithms, where the peak signal-to-noise ratio and structural similarity index can be increased at least by 4 dB (9 dB) and 0.1 (0.05) for a complex (simple) dynamic scene, respectively. The AL + DL algorithm not only optimizes the sparse domain and relevant iteration parameters via learning the dataset but also simplifies the mathematical architecture, so it greatly improves the image reconstruction accuracy. Here, we develop a novel AL and deep-learning (DL) hybrid (i.e., AL + DL) algorithm to realize high-fidelity image reconstruction for CUP. However, the low fidelity of image reconstruction based on the conventional augmented-Lagrangian (AL) and two-step iterative shrinkage/thresholding (TwIST) algorithms greatly prevents practical applications of CUP, especially for those ultrafast phenomena that need high spatial resolution. Note: Author names will be searched in the keywords field, also, but that may find papers where the person is mentioned, rather than papers they authored.ġState Key Laboratory of Precision Spectroscopy, School of Physics and Electronic Science, East China Normal University, Shanghai 200062, ChinaĢDepartment of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USAģInstitut National de la Recherche Scientifique, Centre Énergie Matériaux Télécommunications, Laboratory of Applied Computational Imaging, Varennes, Québec J3X1S2, CanadaĤCollaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan 030006, ChinaĥCollaborative Innovation Center of Light Manipulations and Applications, Shandong Normal University, Jinan 250358, ChinaĬompressed ultrafast photography (CUP) is the fastest single-shot passive ultrafast optical imaging technique, which has shown to be a powerful tool in recording self-luminous or non-repeatable ultrafast phenomena.Use a comma to separate multiple people: J Smith, RL Jones, Macarthur.
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Use these formats for best results: Smith or J Smith.For best results, use the separate Authors field to search for author names.Use quotation marks " " around specific phrases where you want the entire phrase only.Question mark (?) - Example: "gr?y" retrieves documents containing "grey" or "gray".Asterisk ( * ) - Example: "elect*" retrieves documents containing "electron," "electronic," and "electricity".Improve efficiency in your search by using wildcards.Example: (photons AND downconversion) - pump.Example: (diode OR solid-state) AND laser.Note the Boolean sign must be in upper-case. Separate search groups with parentheses and Booleans.Keep it simple - don't use too many different parameters.