Skip to main content

Highlight Removal from Single Image

  • Conference paper
Advanced Concepts for Intelligent Vision Systems (ACIVS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5807))

Abstract

The highlight removal method from the single image without knowing the illuminant has been presented. The presented method is based on the Principal Component Analysis (PCA), Histogram equalization and Second order polynomial transformation. The proposed method does not need color segmentation and normalization of image by illuminant. The method has been tested on different types of images, images with or without texture and images taken in different unknown light environment. The result shows the feasibility of the method. Implementation of the method is straight forward and computationally fast.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Tan, R.T., Ikeuchi, K.: Seperating Reflection Components of Textured Surfaces Using a Single Image. IEEE Transactions on Pattern Analysis and Machine Intelligence 27, 178–193 (2005)

    Article  Google Scholar 

  2. Wolff, L.B., Boult, T.: Constraining object features using polarization reflectance model. IEEE Trans. on Pattern Analaysis and Machine Intelligence 13(7), 635–657 (1991)

    Article  Google Scholar 

  3. Bochko, V., Parkkinen, J.: Highlight Analysis Using a Mixture Model of Probabilistic PCA. In: Proceedings of the 4th WSEAS International Conference on Signal Processing, Robotics and Automation, Salzburg, Austria Article No. 15 (2005) ISBN:960-8457-09-2

    Google Scholar 

  4. Lee, H.-C.: Method for computing the scene illuminant chromaticity from specular highlights. J. Opt. Soc. Am. 3, 1694–1699 (1986)

    Article  Google Scholar 

  5. Shen, H.-L., Zhang, H.-G., Shao, S.-J., Xin, J.H.: Chromaticity-based Seperation of reflection components in a single image. Pattern Recognition 41, 2461–2469 (2008)

    Article  MATH  Google Scholar 

  6. Klinker, G.J., Shafer, S.H., Kanade, T.: The measurement of Highlights in Color Images. Int’l J. Computer Vision 2, 7–32 (1990)

    Article  Google Scholar 

  7. Schluns, K., Koschan, A.: Global and Local Highlight Analysis in Color Images. In: Proceedings of CGIP 2000, First International Conference on Color in Graphics and Image Processing, Saint-Etienne, France, October 1-4, pp. 300–304 (2000)

    Google Scholar 

  8. Nayar, S.K., Fang, X.S., Boult, T.: Separation of reflection components using color and polarization. Int. J. Computer Vision 21, 163–186 (1997)

    Article  Google Scholar 

  9. Shafer, S.A.: Using color to seperate reflection components. Color Res. App. 10, 210–218 (1985)

    Article  Google Scholar 

  10. Fu, Z., Tan, R.T., Caelli, T.M.: Specular Free Spectral Imaging Using Orthogonal Subspace Projection. In: Proceedings of the 18th International Conference on Pattern Recognition (2006)

    Google Scholar 

  11. Jolliffe, I.T.: Principal Component Analysis. Springer series of statistics. Springer, Heidelberg (2002)

    MATH  Google Scholar 

  12. Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Prentice-Hall, Englewood Cliffs (2002)

    Google Scholar 

  13. Zhang, X., Wandell, B.: A Spatial Extension of CIELAB for Digital Color Image Reproduction, http://white.stanford.edu/~brian/scielab/scielab3/scielab3.pdf

  14. Tan, P., Lin, S., Quan, L., Shum, H.-Y.: Highlight Removal by Illumination-Constrained Inpainting. In: Proceeding of the ninth IEEE International Conference on Computer Vision (ICCV 2003), vol. 2 (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Koirala, P., Hauta-Kasari, M., Parkkinen, J. (2009). Highlight Removal from Single Image. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2009. Lecture Notes in Computer Science, vol 5807. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04697-1_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04697-1_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04696-4

  • Online ISBN: 978-3-642-04697-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics