Skip to main content
SpringerLink
Log in

An investigation of Retinex algorithms for image enhancement

  • Published:
Journal of Electronics (China)

Abstract

This letter introduces color constancy and Retinex theory for image enhancement. It classifies Retinex algorithms into four categories and provides their principles and implementations in general. The experimental results of Frankle-McCann, MSR (Multi-Scale Retinex) and PNSD (Projected Normalized Steepest Descent) Retinex algorithms are presented and compared. Moreover, variance and average gradient are proposed to evaluate the performance of the different algorithms.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. E. Land, J. McCann. Lightness and Retinex theory. Journal of the Optical Society of America, 61(1971)1, 1–11.

    Google Scholar 

  2. C. Gonzalez Rafael, Richard E. Woods. Digital Image Processing. Second edition, Beijing, Publishing House of Electronics Industry, 2002, 50–51.

    Google Scholar 

  3. L. Meylan, S. Susstrunk. Bio-inspired color image enhancement. The Human Vision and Electronic Imaging IX Conference, IS&T/SPIE Electronic Imaging, Switzerland, January 19–21, 2004, vol.5292, 46–56.

    Google Scholar 

  4. D. Brainard, B. Wandell. Analysis of the Retinex theory of color vision. Journal of the Optical Society of America, 3(1986)10, 1651–1661.

    Article  Google Scholar 

  5. J. Frankle, J. McCann. Method and apparatus for lightness imaging. US Patent #4,384,336, 1983.

  6. B. Funt, F. Ciuera, J. McCann. Retinex in Matlab. Journal of Electronic Imaging, 13(2004)1, 48–57.

    Article  Google Scholar 

  7. A. Rizzi, C. Gatta, D. Marini. A new algorithm for unsupervised global and local color correction. Pattern Recognition Letters, 24(2003)7, 1663–1677.

    Article  Google Scholar 

  8. D. J. Jobson, Z. Rahman, G. A. Woodell. A multiscale Retinex for bridging the gap between color images and the human observation of scenes. IEEE Trans. on Image Processing, 6(1997)7, 965–976.

    Article  Google Scholar 

  9. Ron Kimmel, Michael Elad, Doron Shaked, Renato Keshet, Irwin Sobel. A variational framework for Retinex. International Journal of Computer Vision, 52(2003)1, 7–23.

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. 201 Lab, Beijing University of Aeronautics and Astronautics, Beijing, 100083, China

    Lei Ling, Zhou Yinqing & Li Jingwen

Authors
  1. Lei Ling
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhou Yinqing
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Li Jingwen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lei Ling.

Additional information

Communication author: Lei Ling, born in 1982, female, Ph.D. candidate, IET student member. 201 Lab of Beijing University of Aeronautics and Astronautics, Beijing 100083, China.

About this article

Cite this article

Lei, L., Zhou, Y. & Li, J. An investigation of Retinex algorithms for image enhancement. J. of Electron.(China) 24, 696–700 (2007). https://doi.org/10.1007/s11767-006-0222-2

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11767-006-0222-2

Key words

CLC index

Search

Navigation