Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 9,
  • Issue 8,
  • pp. 081001-081001
  • (2011)

Sub-pixel processing for super-resolution scanning imaging system with fiber bundle coupling

Not Accessible

Your library or personal account may give you access

Abstract

A multilayer fiber bundle is used to couple the image in a remote sensing imaging system. The object image passes through all layers of the fiber bundle in micro-scanning mode. The malposition of adjacent layers arranged in a hexagonal pattern is at sub-pixel scale. Therefore, sub-pixel processing can be applied to improve the spatial resolution. The images coupled by the adjacent layer fibers are separated, and subsequently, the intermediate image is obtained by histogram matching based on one of the separated image called base image. Finally, the intermediate and base images are processed in the frequency domain. The malposition of the adjacent layer fiber is converted to the phase difference in Fourier transform. Considering the limited sensitivity of the experimental instruments and human sight, the image is set as a band-limited signal and the interpolation function of image fusion is found. The results indicate that a super-resolution image with ultra-high spatial resolution is obtained.

© 2011 Chinese Optics Letters

PDF Article
More Like This
Fiber bundle shifting endomicroscopy for high-resolution imaging

Khushi Vyas, Michael Hughes, Bruno Gil Rosa, and Guang-Zhong Yang
Biomed. Opt. Express 9(10) 4649-4664 (2018)

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

Yang Huang, Wei Zhou, Baoteng Xu, Jialin Liu, Daxi Xiong, and Xibin Yang
OSA Continuum 4(10) 2577-2590 (2021)

Pixel-reassigned line-scanning microscopy for fast volumetric super-resolution imaging

Hongjin Li, Gan Liu, Qiuyuan Zhong, and Shih-Chi Chen
Opt. Express 32(2) 2347-2355 (2024)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.