Analysis of bandwidth limitation in time-stretch compressive sampling imaging system

Hongwei Chen; Zhiliang Weng; Qiang Guo; Minghua Chen; Sigang Yang; Shizhong Xie

doi:10.1117/12.2209437

23 March 2016 Analysis of bandwidth limitation in time-stretch compressive sampling imaging system

Hongwei Chen, Zhiliang Weng, Qiang Guo, Minghua Chen, Sigang Yang, Shizhong Xie

Author Affiliations +

Proceedings Volume 9720, High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management; 972013 (2016) https://doi.org/10.1117/12.2209437
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

Compressive sampling (CS) is an emerging field that provides a new framework for image reconstruction and has potentially powerful implications for the design of optical imaging devices. Single-pixel camera, as a representative example of CS, enables the use of exotic detectors and can operate efficiently across a much broader spectral range than conventional silicon-based cameras. Recently, time-stretch CS imaging system is proposed to overcome the speed limitation of the conventional single-pixel camera. In the proposed system, as ultra-short optical pulses are used for active illumination, the performance of the imaging system is affected by the detection bandwidth. In this paper, we experimentally analyze the bandwidth limitation in the CS-based time-stretch imaging system. Various detector bandwidths are introduced in the system and the mean square error (MSE) is calculated to evaluate the quality of reconstructed images. The results show that the decreasing detection bandwidth leads to serious energy spread of the pulses, where the MSE increases rapidly and system performance is degraded severely.

Citation Download Citation

Hongwei Chen, Zhiliang Weng, Qiang Guo, Minghua Chen, Sigang Yang, and Shizhong Xie "Analysis of bandwidth limitation in time-stretch compressive sampling imaging system", Proc. SPIE 9720, High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management, 972013 (23 March 2016); https://doi.org/10.1117/12.2209437

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