Resolution improvement in real-time and video mosaicing for fiber bundle imaging

被引：5
作者：
Huang, Yang [1 ]
Zhou, Wei [2 ]
Xu, Baoteng [1 ,2 ]
Liu, Jialin [2 ]
Xiong, Daxi [2 ]
Yang, Xibin [2 ]
机构：
[1] Univ Sci & Technol China, 96 JinZhai Rd, Hefei 230026, Peoples R China
[2] Chinese Acad Sci, Suzhou Inst Biomed Engn & Technol, 88 Keling St, Suzhou 215163, Peoples R China
来源：
OSA CONTINUUM | 2021年 / 4卷 / 10期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
OPTICAL COHERENCE TOMOGRAPHY; ENDOMICROSCOPY; ENHANCEMENT; REMOVAL; MOTION; SUPERRESOLUTION; RECONSTRUCTION; DEPIXELATION; ALGORITHM; PATTERNS;
D O I：
10.1364/OSAC.435313
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
A fiber bundle allows easy access to a wide range of human tissue. It has smaller diameters, which limits its effective field of view (FOV), and consists of a large number of cores surrounded by a cladding layer, which reduces its spatial resolution. In this paper, we develop an algorithm that processes successively captured raw fiber bundle images in an online fashion. Our algorithm tackles the tasks of super-resolution (SR) and video mosaicing jointly. The natural movement of the fiber tip in successive frames produces offsets that are random in the pixel domain to apply multi-frame SR imaging. Meanwhile, the associated FOV can be extended by mosaicing reconstructed SR images with obtained shifted information. Our approach has low computational complexity that allows for processing in real-time. The performance of resolution improvement in real-time and video mosaicing is demonstrated on the resolution target and biological samples. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
引用
收藏
页码：2577 / 2590
页数：14
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