A Fast Image Enhancement Algorithm Using Bright Channel

  • Long Chen
  • Wei Sun
  • Jiaxing Feng
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 298)


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.


image enhancement Retinex algorithm bright channel joint bilateral filtering 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Braun, G.J., Fairchild, M.D.: Image lightness rescaling using sigmoidal contrast enhancement functions. Journal of Electronic Imaging 8, 380–393 (1999)CrossRefGoogle Scholar
  2. 2.
    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)Google Scholar
  3. 3.
    Rizzi, A., Gatta, C., Marini: A new algorithm for unsupervised global and local color correction. Pattern Recognition Letters 24, 1663–1677 (2003)CrossRefGoogle Scholar
  4. 4.
    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)Google Scholar
  5. 5.
    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)Google Scholar
  6. 6.
    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)Google Scholar
  7. 7.
    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)CrossRefGoogle Scholar
  8. 8.
    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)CrossRefGoogle Scholar
  9. 9.
    Rahman, Z., Jobson, D.J., Woodell, G.A.: Retinex processing for automatic image enhancement. Journal of Electronic Imaging 13, 100–110 (2004)CrossRefGoogle Scholar
  10. 10.
    Kimmel, R., Elad, M., Sobel, I.: A variational framework for Retinex. International Journal of Computer Vision 52, 7–23 (2003)CrossRefMATHGoogle Scholar
  11. 11.
    Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Publishing House of Electronics Industry, Beijing (2007)Google Scholar
  12. 12.
    Tomasi, C., Manduchi, R.: Bilateral filtering for gray and color images. In: International Conference on Computer Vision, pp. 839–846. IEEE Press, Bombay (1998)Google Scholar
  13. 13.
    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)CrossRefGoogle Scholar
  14. 14.
    NASA Research Center,

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Xi’an Research Institute of China Coal Technology & Engineering Group CorpXi’anChina
  2. 2.Xidian UniversityXi’anChina

Personalised recommendations