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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
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)
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)
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
Lee, H.-C.: Method for computing the scene illuminant chromaticity from specular highlights. J. Opt. Soc. Am. 3, 1694–1699 (1986)
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)
Klinker, G.J., Shafer, S.H., Kanade, T.: The measurement of Highlights in Color Images. Int’l J. Computer Vision 2, 7–32 (1990)
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)
Nayar, S.K., Fang, X.S., Boult, T.: Separation of reflection components using color and polarization. Int. J. Computer Vision 21, 163–186 (1997)
Shafer, S.A.: Using color to seperate reflection components. Color Res. App. 10, 210–218 (1985)
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)
Jolliffe, I.T.: Principal Component Analysis. Springer series of statistics. Springer, Heidelberg (2002)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Prentice-Hall, Englewood Cliffs (2002)
Zhang, X., Wandell, B.: A Spatial Extension of CIELAB for Digital Color Image Reproduction, http://white.stanford.edu/~brian/scielab/scielab3/scielab3.pdf
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights 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)