Abstract
Retinex is a theory describing the color consistency of human visual system. Its essence is to put aside the influence of illumination image L from image S, and to get reflectance properties R which is the real appearance of the object. Trilateral filter is a recently reported filtering technology which can preserve edges and remove noise as well. In this paper, we propose a Retinex image enhancement method based on trilateral filter. The proposed method enjoys the benefits of trilateral filter, which not only enhance image contrast and aviod "halos" but also preserve edges and texture. Experimental results show the good behavior of our proposed method.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Land, E.H.: The Retinex theory of color vision. Sci. Amer. 237, 108–128 (1977)
Land, E.H., McCann, J.J.: Lightness and Retinex theory. Journal of Optical Society of America 61(l), 1–11 (1971)
Land, E.H.: An alternative technique for the computation of the designator in the Retinex theory of color vision. Proceedings of the National Academy of Science of the United States of America 83(10), 3078–3080 (1986)
Rahman, Z., Jobson, D.J., Woodell, G.A.: Retinex Processing for automatic image enhancement. Journal of Electronic Imaging 13(l), 100–110 (2004)
Moore, A., Allman, J., Goodman, R.M.: A real-time neural system for color constancy. IEEE Transactions on Neural Networks 2(2), 237–247 (2002)
Meylan, L., Isstrunk, S.S.: Color image enhancement using a Retinex-based adaptive filter. Citeseer (2004)
McCann, J.: Capturing a black cat in shade: the past and present of Retinex color appearance models. Electronic Imaging 13(1), 36–47 (2004)
Ciurea, F., Funt, B.: Tuning Retinex parameters. Journal of Electronic Imaging 13(1), 58–64 (2004)
Bertalmio, M., Caselles, V., Provenzi, E.: Issues about Retinex theory and contrast enhancement. International Journal of Computer Vision 83(1), 101–119 (2009)
Xiong, W., Funt, B.: Stereo Retinex. Image and Vision Computing 27, 178–188 (2009)
Eland, M.: On the original of bilateral filter and ways to improve it. IEEE Transactions on Image Processing 11(10), 1141–1151 (2002)
Eland, M.: Retinex by Two Bilateral Filters. In: The 5th international Conference on Scale-Space and PDE in Computer Vision, Hofgeismar, Germany, April 7-9 (2005)
Tomasi, C., Manduchi, R.: Bilateral filtering for gray and color images. In: Proc. 6th Int. Conf. Computer Vision, New Delhi, India, pp. 839–846 (1998)
Choudhury, P., Tumblin, J.: The Trilateral Filter for High Contrast Images and Meshes. In: Proc. Eurographics Symposium on Rendering, pp. 1–11 (2003)
Vaudrey, T., Klette, R.: Fast Trilateral Filtering. Multimedia Imaging Report 40 (2009)
Shen, J., Jin, X., Sun, H.: High dynamic range image tone mapping and retexturing using fast trilateral filtering. Visual Compute 23, 641–650 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yang, L., Lu, X., Zeng, W., Geng, W. (2012). Trilateral Filtering-Based Retinex for Image Enhancement. In: Lei, J., Wang, F.L., Deng, H., Miao, D. (eds) Artificial Intelligence and Computational Intelligence. AICI 2012. Lecture Notes in Computer Science(), vol 7530. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33478-8_50
Download citation
DOI: https://doi.org/10.1007/978-3-642-33478-8_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33477-1
Online ISBN: 978-3-642-33478-8
eBook Packages: Computer ScienceComputer Science (R0)