Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Clustering Latent Sensor Distribution on Body Map for Generating Body Schema Read chapter Read first chapter

2017 | OriginalPaper | Chapter

A Honeycomb Artifacts Removal and Super Resolution Method for Fiber-Optic Images

Authors : Zhong Zheng, Bin Cai, Jieting Kou, Wei Liu, Zengfu Wang

Published in: Intelligent Autonomous Systems 14

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The special fiber bundle image has characteristics of anti-radiation and resistance to high temperature, thus can be used to observe nuclear environment. But there are honeycomb artifacts in fiber bundle image, and the resolution of image is low, which greatly affects the image quality. This paper propose a method to segment optical fiber cladding and fiber center. And an improved non local means (NLM) algorithm is used to denoise and repair the fiber bundle images. The algorithm can remove the honeycomb artifacts and greatly enhance the image resolution. The test results show that the algorithm is effective.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Efficient Measurement of Fibre Orientation for Mapping Carbon Fibre Parts with a Robotic System
next chapter Water-Surface Stability Analysis of a Miniature Surface Tension-Driven Water Strider Robot
Literature
1.
Göbel, W., Kerr, J.N.D., Nimmerjahn, Al, Helmchen, F.: Miniaturized two-photon microscope based on a flexible coherent fiber bundle and a gradient-index lens objective. Opt. Lett. 29(21), 2521–2523 (2004)CrossRef
2.
Dubaj, V., Mazzolini, A., Wood, A., Harris, M.: Optic fibre bundle contact imaging probe employing a laser scanning confocal microscope. J. Microsc. 207, 108–117 (2002)MathSciNetCrossRef
3.
Oh, W.Y., Bouma, B.E., Iftimia, N., Yelin, R., Tearney, G.J.: Spectrally-modulated full-field optical coherence microscopy for ultrahigh-resolution endoscopic imaging. Opt. Express 14, 8675–8684 (2006)CrossRef
4.
Winter, C., Rupp, S., Elter, M., Münzenmayer, C., Gerhäuser, H., Wittenberg, T.: Automatic adaptive enhancement for images obtained with fiberscopic endoscopes. IEEE Trans. Biomed. Eng. 53, 2035–2046 (2006)CrossRef
5.
Rupp, S., Winter, C., Elter, M.: Evaluation of spatial interpolation strategies for the removal of comb-structure in fiber-optic images. In: 31st Annual International Conference of the IEEE EMBS, 2009, pp. 3677–3680
6.
Dickens, M.M., Houlne, M.P., Mitra, S., Bornhop, D.J.: Soft computing method for the removal of pixelation in microendoscopic images. Proc. SPIE 3165, 186–194 (1997)CrossRef
7.
Suter, M., Reinhardt, J., Montague, P., Taft, P., Lee, J., Zabner, J., McLennan, G.: Bronchoscopic imaging of pulmonary mucosal vasculature responses to inflammatory mediators. J. Biomed. Opt. 10(3), 034013–0340135 (2005)CrossRef
8.
Han, J.-H., Lee, J.H., Kang, J.U.: Pixelation effect removal from fiber bundle probe based optical coherence tomography imaging. Opt. Express 18, 7427–7439 (2010)CrossRef
9.
Han, J.-H., Yoon, S.M.: Depixelation of coherent fiber bundle endoscopy based on learning patterns of image prior. Opt. Lett. 36(16), 3212–3214 (2011)CrossRef
10.
Ford, T.N., Lim, D., Mertz, J.: Fast optically sectioned fluorescence HiLo endomicroscopy. J. Biomed. Opt. 17(2), 0211051–0211057 (2012)CrossRef
11.
Lee, C.-Y., Han, J.-H.: Integrated spatio-spectral method for efficiently suppressing honeycomb pattern artifact in imaging fiber bundle microscopy. J. Opt. Commun. 306, 67–73 (2013)CrossRef
12.
Lee, C.-Y., Han, J.-H.: Elimination of honeycomb patterns in fiber bundle imaging by a superimposition method. Opt. Lett. 38(12), 2023–2025 (2013)CrossRef
13.
Cheon, G.W., Cha, J., Kang, J.U.: Spatial compound imaging for fiber-bundle optic microscopy. Opt. Fibers Sens. Med. Diagn. Treat. Appl. XIV 8938(1), 393–398 (2014)
14.
Cai, B., Liu, W., Zheng, Z., Wang, Z.F.: A new similarity measure for non-local means denoising. In: CCF Chinese Conference on Computer Vision, CCCV2015, Xi’an, vol. 546, pp. 306–316. Springer (2015)
Metadata
Title
A Honeycomb Artifacts Removal and Super Resolution Method for Fiber-Optic Images
Authors
Zhong Zheng
Bin Cai
Jieting Kou
Wei Liu
Zengfu Wang
Copyright Year
2017
Book
Intelligent Autonomous Systems 14

Print ISBN: 978-3-319-48035-0

Electronic ISBN: 978-3-319-48036-7

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-48036-7_56

Premium Partner

    Image Credits