22 February 2017 High-speed real-time image compression based on all-optical discrete cosine transformation
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Abstract
In this paper, we present a high-speed single-pixel imaging (SPI) system based on all-optical discrete cosine transform (DCT) and demonstrate its capability to enable noninvasive imaging of flowing cells in a microfluidic channel. Through spectral shaping based on photonic time stretch (PTS) and wavelength-to-space conversion, structured illumination patterns are generated at a rate (tens of MHz) which is three orders of magnitude higher than the switching rate of a digital micromirror device (DMD) used in a conventional single-pixel camera. Using this pattern projector, high-speed image compression based on DCT can be achieved in the optical domain. In our proposed system, a high compression ratio (approximately 10:1) and a fast image reconstruction procedure are both achieved, which implicates broad applications in industrial quality control and biomedical imaging.
Conference Presentation
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Qiang Guo, Hongwei Chen, Yuxi Wang, Minghua Chen, Sigang Yang, Shizhong Xie, "High-speed real-time image compression based on all-optical discrete cosine transformation", Proc. SPIE 10076, High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management II, 100760E (22 February 2017); doi: 10.1117/12.2249538; https://doi.org/10.1117/12.2249538
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