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Bayes' theorem-based binary algorithm for fast reference-less calibration of a multimode fiber
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DOI：10.1364/OE.26.020368.png)
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摘要
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In this paper, we present a Bayes' theorem-based high-speed algorithm to measure the binary transmission matrix of a multimode fiber using a digital micromirror device in a reference-less multimode fiber imaging system. Based on conditional probability, we define a preset threshold to locate those digital-micromirror-device pixels that can be switched 'ON' to form a focused spot at the output. This leads to a binary transmission matrix consisting of '0' and '1' elements. High-enhancement-factor light focusing and raster-scanning at the distal end of the fiber are demonstrated experimentally. The key advantage of our algorithm is its capability for fast calibration of a MMF to form a tightly focused spot. In our experiment, for 5000 input-output pairs, we only need 0.26 s to calibrate one row of the transmission matrix to achieve a focused spot with an enhancement factor of 28. This is more than 10 times faster than the prVBEM algorithm. The proposed Bayes' theorem-based binary algorithm can be applied not only in multimode optical fiber focusing but also to other disordered media. Particularly, it will be valuable in fast multimode fiber calibration for endoscopic imaging. Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
Keyword:
OPTICAL-PHASE CONJUGATION
FOCUSING LIGHT
TRANSMISSION MATRIX
SCATTERING MEDIA
TURBID MEDIA
MODULATION
ENDOSCOPE
AMPLITUDE
CRYSTAL
DEVICE
期刊
IF:
3.3
论文数:
6.1W
被引数:
14.3W
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引用论文
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