Abstract
A high-fidelity data compression method based on differential detection and run-length encoding is proposed for time-stretch imaging system, where spatial image is mapped to the time domain and then read out by a balanced photodetector for image reconstruction. Differential detection is capable of distinguishing discrepancy of consecutive scans and eliminating identical signals. After the detection, run-length encoding merges consecutive identical data to a single data. In the experiment, a 77.76 MHz line-scan imaging system is demonstrated. The compression ratio of more than 3.8 is achieved. After the data decompression, the image of high fidelity can be reconstructed.
| Original language | English |
|---|---|
| Pages (from-to) | 5098-5104 |
| Number of pages | 7 |
| Journal | Journal of Lightwave Technology |
| Volume | 35 |
| Issue number | 23 |
| Early online date | 1 Nov 2017 |
| DOIs | |
| Publication status | Published - 1 Dec 2017 |
Keywords
- Data compression
- Imaging system
- Optical attenuators
- Optical fibers
- Optical imaging
- Optical pulses
- optical signal processing
- ultrafast measurements
ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics
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Profiles
Xu Wang
- School of Engineering & Physical Sciences - Associate Professor
- School of Engineering & Physical Sciences, Institute of Photonics and Quantum Sciences - Associate Professor
Person: Academic (Research & Teaching)
Cite this
Dai, B., Yin, S., Gao, Z., Wang, K., Zhang, D., Zhuang, S., & Wang, X. (2017). Data compression for time-stretch imaging based on differential detection and run-length encoding. Journal of Lightwave Technology, 35(23), 5098-5104. https://doi.org/10.1109/JLT.2017.2768382