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:
A Network-Oriented Modeling Approach to Voting Behavior During the 2016 US Presidential Election Read chapter Read first chapter

2018 | OriginalPaper | Chapter

RGBN Multispectral Images: A Novel Color Restoration Approach

Authors : Cristhian Aguilera, Xavier Soria, Angel D. Sappa, Ricardo Toledo

Published in: Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017

Publisher: Springer International Publishing

Log in

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

search-config
loading …

Abstract

This paper describes a color restoration technique used to remove NIR information from single sensor cameras where color and near-infrared images are simultaneously acquired—referred to in the literature as RGBN images. The proposed approach is based on a neural network architecture that learns the NIR information contained in the RGBN images. The proposed approach is evaluated on real images obtained by using a pair of RGBN cameras. Additionally, qualitative comparisons with a naïve color correction technique based on mean square error minimization are provided.

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 Indoor Children Location System Using BLE Technology
next chapter Learning to Colorize Infrared Images
Footnotes
1
Demosaicking refers to obtaining the {R,G,B,NIR} components from a given pixel, where all the information is attached together is a single square array {B,G} in top and {IR,R} from the bottom, see an illustration of this pixel composition in Fig. 2.
 
Literature
1.
Salamati, N., Fredembach, C., Süsstrunk, S.: Material classification using color and NIR images. In: Color and Imaging Conference, Society for Imaging Science and Technology, vol. 2009, pp. 216–222 (2009)
2.
Ricaurte, P., Chilán, C., Aguilera-Carrasco, C.A., Vintimilla, B.X., Sappa, A.D.: Feature point descriptors: infrared and visible spectra. Sensors 14, 3690–3701 (2014)CrossRef
3.
Barrera, F., Lumbreras, F., Sappa, A.D.: Evaluation of similarity functions in multimodal stereo. In: International Conference Image Analysis and Recognition, pp. 320–329, Springer (2012)
4.
Mouats, T., Aouf, N., Sappa, A.D., Aguilera, C., Toledo, R.: Multispectral stereo odometry. IEEE Trans. Intell. Trans. Syst. 16, 1210–1224 (2015)CrossRef
5.
Mountrakis, G., Im, J., Ogole, C.: Support vector machines in remote sensing: a review. ISPRS J. Photogrammetry Remote Sens. 66, 247–259 (2011)CrossRef
6.
Adam, E., Mutanga, O., Rugege, D.: Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review. Wetlands Ecol. Manag. 18, 281–296 (2010)CrossRef
7.
Barnard, K., Cardei, V., Funt, B.: A comparison of computational color constancy algorithms. I: methodology and experiments with synthesized data. IEEE Trans. Image Process. 11, 972–984 (2002)CrossRef
8.
Chen, Z., Zhu, N., Pacheco, S., Wang, X., Liang, R.: Single camera imaging system for color and near-infrared fluorescence image guided surgery. Biomed. Opt. Express 5, 2791–2797 (2014)CrossRef
9.
Chen, Z., Wang, X., Liang, R.: RGB-NIR multispectral camera. Opt. Express 22, 4985–4994 (2014)CrossRef
10.
Martinello, M., Wajs, A., Quan, S., Lee, H., Lim, C., Woo, T., Lee, W., Kim, S.S., Lee, D.: Dual aperture photography: image and depth from a mobile camera. In: 2015 IEEE International Conference on Computational Photography (ICCP), pp. 1–10 (2015)
11.
Park, C.H., Oh, H.M., Kang, M.G.: Color restoration for infrared cutoff filter removed RGBN multispectral filter array image sensor. In: VISAPP, (1), pp. 30–37 (2015)
12.
Park, C., Kang, M.G.: Color restoration of rgbn multispectral filter array sensor images based on spectral decomposition. Sensors 16, 719 (2016)CrossRef
13.
Teranaka, H., Monno, Y., Tanaka, M., Ok, M.: Single-sensor RGB and NIR image acquisition: toward optimal performance by taking account of CFA pattern, demosaicking, and color correction. Electronic Imaging 2016, pp. 1–6 (2016)
Metadata
Title
RGBN Multispectral Images: A Novel Color Restoration Approach
Authors
Cristhian Aguilera
Xavier Soria
Angel D. Sappa
Ricardo Toledo
Copyright Year
2018
Book
Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017

Print ISBN: 978-3-319-61577-6

Electronic ISBN: 978-3-319-61578-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-61578-3_15

Premium Partner

    Image Credits