High-speed real-time image compression based on all-optical discrete cosine transformation

Qiang Guo; Hongwei Chen; Yuxi Wang; Minghua Chen; Sigang Yang; Shizhong Xie

doi:10.1117/12.2249538

22 February 2017 High-speed real-time image compression based on all-optical discrete cosine transformation

Qiang Guo, Hongwei Chen, Yuxi Wang, Minghua Chen, Sigang Yang, Shizhong Xie

Proceedings Volume 10076, High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management II; 100760E (2017) https://doi.org/10.1117/12.2249538
Event: SPIE BiOS, 2017, San Francisco, California, United States

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

Citation Download Citation

Qiang Guo, Hongwei Chen, Yuxi Wang, Minghua Chen, Sigang Yang, and 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); https://doi.org/10.1117/12.2249538

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