Abstract
After summarizing the poor-illumination image enhancement methods and analyzing the shortcomings of the currently well-performed multi-scale Retinex algorithm, this paper proposed a new image speedy algorithm with detailed illumination component information. It combined illumination imaging model with target reflection features on RGB color channel, raised a new bright channel concept, and obtained computation method of illumination components by analysis. Then, illumination components were gained precisely through image bright channel gray-scale close computation and fast joint bilateral filtering. Consequently, target reflection components on RGB channel could be solved by illumination/reflection imaging model. The proposed algorithm can get excellent edge details through simple and quick computation. After being removed from the illuminative effects, the images gained are natural-colored, highly visible, and with no halo artifacts. This paper also resolved color casting problem. Compared with NASA method based on multi-scale Retinex, the proposed algorithm improved computation speed, received vivid colors and natural enhancement result.
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References
Braun, G.J., Fairchild, M.D.: Image lightness rescaling using sigmoidal contrast enhancement functions. Journal of Electronic Imaging 8, 380–393 (1999)
Kim, J.Y., Kim, L.S., Hwang, S.H.: An advanced contrast enhancement using partially overlapped sub-block histogram equalization. IEEE Transactions on Circuits and Systems for Video Technology 11, 475–484 (2011)
Rizzi, A., Gatta, C., Marini: A new algorithm for unsupervised global and local color correction. Pattern Recognition Letters 24, 1663–1677 (2003)
Fattal, R., Lischinski, D., Werman, M.: Gradient domain high dynamic range compression. In: Proc. of ACM, SIGGRAPH 2002, pp. 249–256. ACM, New York (2002)
Xiao, J., Song, S.H.P., Ding, L.J.: Research on the fast algorithm of spatial homomorphic filtering. Journal of Image and Graphics 3, 2302–2305 (2008)
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 Sciences (1986)
Jobson, D.J., Rahman, Z., Woodell, G.A.: Properties and performance of a center/surround retinex. IEEE Transactions on Image Processing 6, 451–462 (1997)
Jobson, D.J., Rahman, Z., Woodell, G.A.: A multi-scale retinex for bridging the gap between color images and the human observation of scenes. IEEE Transactions on Image Processing 6, 965–976 (1997)
Rahman, Z., Jobson, D.J., Woodell, G.A.: Retinex processing for automatic image enhancement. Journal of Electronic Imaging 13, 100–110 (2004)
Kimmel, R., Elad, M., Sobel, I.: A variational framework for Retinex. International Journal of Computer Vision 52, 7–23 (2003)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Publishing House of Electronics Industry, Beijing (2007)
Tomasi, C., Manduchi, R.: Bilateral filtering for gray and color images. In: International Conference on Computer Vision, pp. 839–846. IEEE Press, Bombay (1998)
Paris, S., Durand, F.: A fast approximation of the bilateral filter using a signal processing approach. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3954, pp. 568–580. Springer, Heidelberg (2006)
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Chen, L., Sun, W., Feng, J. (2014). A Fast Image Enhancement Algorithm Using Bright Channel. In: Pan, JS., Snasel, V., Corchado, E., Abraham, A., Wang, SL. (eds) Intelligent Data analysis and its Applications, Volume II. Advances in Intelligent Systems and Computing, vol 298. Springer, Cham. https://doi.org/10.1007/978-3-319-07773-4_56
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DOI: https://doi.org/10.1007/978-3-319-07773-4_56
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07772-7
Online ISBN: 978-3-319-07773-4
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