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:
Design of Driveline Test Bench for Noise and Vibration Harshness Improvement of Automotive Chassis Components System Read chapter Read first chapter

2013 | OriginalPaper | Chapter

Pre-Processing for Image Sequence Visualization Robust to Illumination Variations

Authors : Ivica Kuzmanić, Slobodan Marko Beroš, Joško Šoda, Igor Vujović

Published in: Design and Analysis of Materials and Engineering Structures

Publisher: Springer Berlin Heidelberg

Log in

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

search-config
loading …

Abstract

Several images (a sequence) may be used to obtain better image quality. This method is perfect for super-resolution algorithms, which improve sub-pixel clarity of the image and allow a more detailed view. It is possible that illumination variations, e.g. those caused by a light source, lessen the benefits of super-resolution algorithms. The reduction of the quantity of such occurrences by stabilizing variations is important. An enhanced stabilization algorithm is proposed for purposes of reduction of variations in illumination. It is based on the energy contained in wavelet coefficients. In the proposed algorithm, energy plays a role of the memory buffer in memory-based techniques of illumination variation reduction. The benefits of the proposed image stabilization are the higher quality of images and better visualization. Possible applications are in surveillance, product quality control, engine monitoring, corrosion monitoring, micro/nano microscopy, etc.

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 Observation of Damage to Materials for Educational Purposes at the BSc Level
next chapter Efficient Crack Propagation Simulation Using the Superimposed Finite Element Method and Cohesive Zone Model
Literature
1.
Amer, A.: Memory-based spatio-temporal real-time object segmentation for video surveillance. In: Proceedings of the Conference on Real-time Imaging VII, Santa Clara, CA, vol. 5012, pp. 10–21. 22–23 Jan 2003
2.
Zhichao, L., Joo, E.M.: Face recognition under varying illumination. In: Er, M.J. (ed.) New Trends in Technologies: Control, Management, Computational Intelligence and Network Systems, InTech, Rijeka (2010)
3.
Perronnin, F., Dugelay, J.L.: A model of illumination variation for robust face recognition. Workshop on multimodal user authentication, Santa Barbara, USA, 11–12 Dec 2003
4.
Eekeren, A.W.M., Schutte, K., Vliet, L.J.: Multiframe super-resolution reconstruction of small moving objects. IEEE Trans. Image Process 19, 2901–2912 (2010)CrossRef
5.
Robinson, M.D., Toth, C.A., Lo, J.Y., Farsiu, S.: Efficient fourier-wavelet super-resolution. IEEE Trans. Image Process 19, 2669–2681 (2010)CrossRef
6.
He, Y., Yap, K.H., Chen, L., Chau, L.P.: A nonlinear least square technique for simultaneous image registration and super-resolution. IEEE Trans. Image Process 16, 2830–2841 (2007)CrossRef
7.
Brito, A.E., Chan, S.H., Cabrera, S.D.: SAR image superresolution via 2-D adaptive extrapolation. Multidimension. Syst. Signal Process. 14, 83–104 (2003)CrossRef
8.
Ng, M.K., Yau, A.C.: Super-resolution image restoration from blurred low-resolution images. J Math Imaging Vis 23, 367–378 (2005)CrossRef
9.
Vandewalle, P.: Super-resolution from unregistered aliased images. Ph.D. thesis, École Polytechnique Fédérale De Lausanne (2006)
10.
Nguyen, N., Milanfar, P.: A wavelet-based interpolation-restoration method for superresolution (wavelet superresolution). Circ. Syst. Signal Process. 19, 321–338 (2000)CrossRef
11.
Bose, N.K.: Image phase-only information for landmine classification using ANN and DT/wavelet superresolution from image sequence. Sixth Annual Army Landmine Research Technical Review Meeting, Springfield, VA, 23 Jan 2003
12.
Mastriani, M.: New wavelet-based superresolution algorithm for speckle reduction in SAR images. Int. J. Comp. Sci. 1, 291–298 (2006)
13.
Bose, N.K., Letrattanapanich, S., Chappalli, M.B.: Superresolution with second generation wavelets. Signal Process. Image 19, 387–391 (2004)CrossRef
14.
Bose, N.K., Chappalli, M.B.: A second-generation wavelet framework for super-resolution with noise filtering. Int. J. Imaging Syst. Technol. 14, 84–89 (2004)CrossRef
15.
Rosin, P., Ioannidis, E.: Evaluation of global image thresholding for change detection. Pattern Recogn. Lett. 24, 2345–2356 (2003)CrossRef
16.
Porter, R., Fraser, A.M., Hush, D.: Wide-area motion imagery. IEEE Signal Process. Mag. 27, 56–65 (2010)CrossRef
17.
Dorf, R.C.: The Electrical Engineering Handbook. CRC Press LLC, Boca Raton (2000)
18.
Mallat, S.: A Wavelet Tour of Signal Processing, 2nd edn. edn. Academic Press, New York (1999)
19.
Poularikas, A.D.: Signals and Systems Primer with Matlab. CRC Press, New York (2007)
20.
Mertins, A.: Signal Analysis: Wavelets, Filter Banks Time-Frequency Transforms and Applications. Wiley, West Sussex (1999)
21.
Eekeren, A.W.M., Schutte, K., Vliet, L.J.: Multiframe Super-Resolution Reconstruction of Small Moving Objects. IEEE Trans. Image Process. 19, 2901–2912 (2010)CrossRef
22.
Vujović, I., Kuzmanić, I., Vujović, M.: Algorithm for combined wavelet quasi-superresolution. In: Proceedings of 5th International Symposium Communication Systems Networks and Digital Signal Processing, Patras, Greece, vol. 1, pp. 469–473, 19–21 July 2006
23.
Vujović, I., Kuzmanić, I.: Wavelet quasi-superresolution in marine applications. In: Proceedings of the 48th International Symposium ELMAR—2006 focused on Multimedia Signal Processing and Communications, Zadar, Croatia, vol. 1, pp. 65–68 (2006)
Metadata
Title
Pre-Processing for Image Sequence Visualization Robust to Illumination Variations
Authors
Ivica Kuzmanić
Slobodan Marko Beroš
Joško Šoda
Igor Vujović
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
Book
Design and Analysis of Materials and Engineering Structures

Print ISBN: 978-3-642-32294-5

Electronic ISBN: 978-3-642-32295-2

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-3-642-32295-2_4

Premium Partners

    Image Credits