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

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Authors: xiaoyan huang, Hongyao Zeng, Lingchuan Tang, Yuehua Deng, Xuemei Pang, Yiyi Li, Dongying Wang, Chao Zhang, Yan Xu, Wangzhe Zhou, Cong Chen, Yang Yu
+1 more Junbo Yang
Cited by: 0
References: 40

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.

Fields of Study & Subjects

Random lasers and scattering media Sparse and Compressive Sensing Techniques Optical Imaging and Spectroscopy Techniques

Publication details

Journal / source
Optics Express
Volume
34
Issue
6
Pages
10645–10645
Publication date
17 February 2026
Language
EN