Pixel super-resolution of time-stretch imaging by an equivalent-time sampling concept

Antony C. S. Chan; Edmund Y. Lam; Kevin K. Tsia

doi:10.1117/12.2212034

7 March 2016 Pixel super-resolution of time-stretch imaging by an equivalent-time sampling concept

Antony C. S. Chan, Edmund Y. Lam, Kevin K. Tsia

Proceedings Volume 9720, High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management; 972004 (2016) https://doi.org/10.1117/12.2212034
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

Optical time-stretch imaging entails a stringent requirement of state-of-the-art high-speed data acquisition unit in order to preserve high image resolution at an ultrahigh frame rate — hampering the widespread application of such technology. We here propose a pixel super-resolution (pixel SR) technique tailored for time-stretch imaging that can relax the sampling rate requirement. It harnesses a concept of equivalent-time sampling, which effectively introduces sub-pixel shifts between frames. It involves no active opto-mechanical subpixel-shift control and any additional hardware. We present the system design rules and a proof-of-principle experiment which restores high-resolution images at a relaxed sampling rate of 5 GSa=s.

Conference Presentation

Citation Download Citation

Antony C. S. Chan, Edmund Y. Lam, and Kevin K. Tsia "Pixel super-resolution of time-stretch imaging by an equivalent-time sampling concept", Proc. SPIE 9720, High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management, 972004 (7 March 2016); https://doi.org/10.1117/12.2212034

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