Ultra-low sampling fiber imaging system based on physical-enhanced IPSR

Multimode fiber (MMF) imaging holds great potential in the field of minimally invasive endoscopy due to its ultra-fine outer diameter. However, the requirements for real-time monitoring and reduced phototoxicity force the system to operate at extremely low sampling rates, resulting in a severe loss of fidelity with traditional methods. Here, we introduce a physical-enhanced IPSR (Phys-IPSR) imaging framework. By implementing a deterministic front-end screening strategy to minimize mutual coherence and utilizing a dual-stage network to retrieve high-frequency features from extremely sparse data, Phys-IPSR significantly improves information encoding efficiency. At an extremely low sampling rate of only 0.77%, the system successfully achieves high-resolution reconstruction of 198 × 198 pixels, with an average PSNR of 36.46 dB and an SSIM of 0.8682, representing a fidelity improvement exceeding 20 dB over traditional compressed sensing methods. Furthermore, this framework demonstrates exceptional robustness within an axial defocus range of 30 mm (±15 mm), with a single-frame processing time of only 0.047 seconds. Phys-IPSR provides a design paradigm for high-fidelity fiber imaging under extreme sampling conditions, laying an important foundation for future clinically compatible endoscopic systems.

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Publication Details

Journal
Optics Express
Published
2026-02-17
DOI
https://doi.org/10.1364/oe.589065
Primary Topic
Advanced Photonic Communication Systems
Type
article
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article

Ultra-low sampling fiber imaging system based on physical-enhanced IPSR

Junbo Yang, Yuehua Deng, Dongying Wang, Lingchuan Tang et al.
Optics Express
Advanced Photonic Communication Systems
article

Ultra-low sampling fiber imaging system based on physical-enhanced IPSR

Junbo Yang, Yuehua Deng, Dongying Wang, Lingchuan Tang, Yang Yu, Wangzhe Zhou, Hongyao Zeng, xiaoyan huang, Yiyi Li, Yan Xu
article en

Abstract

Multimode fiber (MMF) imaging holds great potential in the field of minimally invasive endoscopy due to its ultra-fine outer diameter. However, the requirements for real-time monitoring and reduced phototoxicity force the system to operate at extremely low sampling rates, resulting in a severe loss of fidelity with traditional methods. Here, we introduce a physical-enhanced IPSR (Phys-IPSR) imaging framework. By implementing a deterministic front-end screening strategy to minimize mutual coherence and utilizing a dual-stage network to retrieve high-frequency features from extremely sparse data, Phys-IPSR significantly improves information encoding efficiency. At an extremely low sampling rate of only 0.77%, the system successfully achieves high-resolution reconstruction of 198 × 198 pixels, with an average PSNR of 36.46 dB and an SSIM of 0.8682, representing a fidelity improvement exceeding 20 dB over traditional compressed sensing methods. Furthermore, this framework demonstrates exceptional robustness within an axial defocus range of 30 mm (±15 mm), with a single-frame processing time of only 0.047 seconds. Phys-IPSR provides a design paradigm for high-fidelity fiber imaging under extreme sampling conditions, laying an important foundation for future clinically compatible endoscopic systems.

Optics ExpressVol. 34(6)
Central South University (CN), National University of Defense Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 53%
Advanced Photonic Communication Systems
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