Nonlinear Transfer Function-Based Image Detail Preserving Dynamic Range Compression for Color Image Enhancement

  • Deepak Ghimire
  • Joonwhoan Lee
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7087)


This paper presents a method for color image enhancement in HSV space with preserving image details. The RGB color image is converted into HSV space and V channel image is now subjected for enhancement. By applying image dependent nonlinear transfer function the local image contrast preserving dynamic range compression as well as contrast enhancement is performed simultaneously on the V channel image. Finally, the enhanced V channel image and original H and S channel images are converted back to RGB image to obtain enhanced RGB image. The original color of the image is preserved because H and S component are kept unchanged. The experimental results show that the performance of the proposed method is better in terms of both subjective and objective evaluation in comparison with conventional methods.


nonlinear transfer function dynamic range compression image local contrast multiscale enhancement 


  1. 1.
    Kim, Y.-T.: Contrast Enhancement Using Brightness Preserving Hi-Histogram Equalization. IEEE Trans. on Consumer Electronics 43, 1–8 (1997)CrossRefGoogle Scholar
  2. 2.
    Wang, Y., Chen, Q., Zhang, B.: Image Enhancement Based on Equal Area Dualistic Sub-Image Histogram Equalization Method. IEEE Trans. on Consumer Electronics 45, 68–75 (1999)CrossRefGoogle Scholar
  3. 3.
    Chen, S.-D., Ramli, R.: Contrast Enhancement using Recursive Mean-Separate Histogram Equalization for Scalable Brightness Preservation. IEEE Trans. on Consumer Electronics 49, 1301–1309 (2003)CrossRefGoogle Scholar
  4. 4.
    Wang, Q., Ward, R.K.: Fast Image/Video Contrast Enhancement Based on Weighted Threshold Histogram Equalization. IEEE Trans. on Consumer Electronics 53, 757–764 (2007)CrossRefGoogle Scholar
  5. 5.
    Fattal, R., Lischinski, D., Werman, M.: Gradient Domain High Dynamic Range Compression. In: Proc. of the 24th Annual Conference on Computer Graphics and Interactive Technologies, pp. 249–256 (2002)Google Scholar
  6. 6.
    Debevec, P.E., Malik, J.: Recovering High Dynamic Range Radiance Maps from Photographs. In: Proc. of the 24th Annual Conference on Computer Graphics and Interactive Technologies, pp. 369–378 (1997)Google Scholar
  7. 7.
    Jobson, D.J., Rahman, Z., Woodell, G.A.: A Multiscale Retinex for Bridging the Gap between Color Images and the Human Observation of Scenes. IEEE Trans. on Image Processing 6, 965–976 (1997)CrossRefGoogle Scholar
  8. 8.
    Choi, D.H., Jang, I.H., Kim, M.H., Kim, N.C.: Color Image Enhancement using Single-Scale Retinex based on an Improved Image Formation Model. In: 16th Ruropean Conf. (EUSIPCO 2008), Lausanne, Switzerland (2008)Google Scholar
  9. 9.
    Tao, L., Asari, V. K.: Adaptive and Integrated Neighborhood-Dependent approach for Nonlinear Enhancement of Color Images. J. of Electronic Imaging 14, 043006-1–043006-14 (2005)Google Scholar
  10. 10.
    Xiao, D., Ohya, J.: Contrast Enhancement of Color Images Based on Wavelet Transform and Human Visual System. In: Proc. of the IASTED Int. Conf. Graphics and Visualization in Engg., Florida, USA, pp. 58–63 (2007)Google Scholar
  11. 11.
    Clement, J.C., Parbukumar, M., Baskar, A.: Color Image Enhancement in Compressed DCT Domain. ICGST-GVIP Journal 10, 31–38 (2010) ISSN: 1687-398XGoogle Scholar
  12. 12.
    Monobe, Y., Yamashita, H., Kurosawa, T., Kotora, H.: Dynamic Range Compression Preserving Local Image Contrast for Digital Video Camera. IEEE Trans. on Consumer Electronics 51, 1–10 (2005)CrossRefGoogle Scholar
  13. 13.
    Ghimire, D., Lee, J.: Nonlinear Transfer Function-Based Local Approach for Color Image Enhancement. IEEE Trans. on Consumer Electronics 57, 858–865 (2011)CrossRefGoogle Scholar
  14. 14.
    Ramponi, G., Strobel, N.K., Mitra, S.K., Yu, T.-H.: Nonlinear Unsharp Masking Methods for Image Contrast Enhancement. J. of Electronic Imaging 5, 353–366 (1996)CrossRefGoogle Scholar
  15. 15.
    Jobson, D.J., Rahman, Z., Woodell, G.A.: Statistic of Visual Representation. In: Proc. of SPIE, vol. 4736, pp. 25–35 (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Deepak Ghimire
    • 1
  • Joonwhoan Lee
    • 1
  1. 1.Computer Science and EngineeringChonbuk National UniversityJeonjuRepublic of Korea

Personalised recommendations