Advertisement

A New Color Image Enhancement Algorithm for Camera-Equipped Mobile Telephone

  • Zhengyou Wang
  • Quan Xue
  • Guobin Chen
  • Weiming Zeng
  • Zhijun Fang
  • Shiqian Wu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4251)

Abstract

We present in this paper a color image enhancement algorithm with high speed, high quality, and low memory usage for the camera-equipped mobile telephone. To achieve this, we first introduce a propagation scheme that estimates and computes the statistical characteristics of an image, then we apply a piecewise nonlinear transformation in the R/G/B channels separately. If the value of a pixel is below minimum or above maximum, it can be ignored by using range stretching, then a narrow intensity range between minimum and maximum may be expanded to a much broader range defined by an exponent function, which consists of mean and variance of the pixel values, and its power is chosen by the trials. The optimal strategies for fast processing in the code style are also discussed. We demonstrate our color image enhancement system and compare it with other feasible techniques on the camera-equipped mobile telephone. The proposed algorithm can be carried out in about 2 seconds using the ARM7 processor and generally performs much better than traditional contrast enhancement methods with higher image quality.

Keywords

High Image Quality Histogram Equalization Mobile Telephone Software Optimization Histogram Modification 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Stark, J.A.: Adaptive Image Contrast Enhancement Using Generalizations of Histogram Equalization. IEEE Trans. on Image Processing. 9(5), 889–896 (2000)CrossRefGoogle Scholar
  2. 2.
    Caselles, V., Lisani, J.L., Morel, J.M.: Shape Preserving Local Histogram Modification. IEEE Trans. on Image Processing 8(2), 220–230 (1999)CrossRefGoogle Scholar
  3. 3.
    Starck, J.J., Murtagh, F., Candes, E.J.: Gray and Color Image Contrast Enhancement by the Curvelet Transform. IEEE Trans. on Image Processing. 12(6), 706–717 (2003)CrossRefMathSciNetGoogle Scholar
  4. 4.
    Jobson, D.J., Rahman, Z., Woodell, G.A.: Properties and Performance of a Center/Surround Retinex. IEEE Trans. Image Processing 6(3), 451–462 (1997)CrossRefGoogle Scholar
  5. 5.
    Kao, W.C., Chen, Y.J.: Multistage bilateral Noise Filtering and Edge Detection for Color Image Enhancement. IEEE Trans. On Consumer Electronics 51(4), 1346–1351 (2005)CrossRefGoogle Scholar
  6. 6.
    Hanmandlu, M., Jha, D., Sharma, R.: Localized contrast enhancement of color images using clustering. In: IEEE International Conference on Information Technology: Coding and Computting, Las Vegas, NV, USA (2001)Google Scholar
  7. 7.
    Chambolle, A., DeVore, R.A., Lee, N.: Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage. IEEE Trans. Image Process, 319–335 (1998)Google Scholar
  8. 8.
    Hanmandlu, M., Jha, D., Sharma, R.: Color image enhancement by fuzzy intensification. In: International Conference on Pattern Recognition, Barcelona, vol. 3 (2000)Google Scholar
  9. 9.
    Cho, H.H., Kim, S.H., Cho, T.K.: Efficient Image Enhancement Technique by Decimation Method. IEEE Trans. On Consumer Electronics 51(2), 654–659 (2005)CrossRefGoogle Scholar
  10. 10.
    Russ, J.C.: The Image Processing Handbook, 4th edn. CRC Press, Boca Raton (2002)MATHCrossRefGoogle Scholar
  11. 11.
    Jain, A.K.: Fundamentals of Digital Image Processing. Prentice Hall, Englewood Cliffs (1989)MATHGoogle Scholar
  12. 12.
    Yun, Z.Y., Bajaj, C.: A Fast and Adaptive Method for Image Contrast Enhancement. In: IEEE International Conference on Image Processing, Singapore, vol. 1 (2004)Google Scholar
  13. 13.
    Richard, G.: The software optimization Cookbook: High-performance Recipes for the Intel Architecture, Intel Press, USA (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Zhengyou Wang
    • 1
    • 2
  • Quan Xue
    • 3
  • Guobin Chen
    • 3
  • Weiming Zeng
    • 1
  • Zhijun Fang
    • 1
  • Shiqian Wu
    • 1
  1. 1.School of Information TechnologyJiangxi University, of Finance & EconomicsNanchangChina
  2. 2.Key Laboratory of High-Performance Computing TechnologyJiangxi ProvinceNanchangChina
  3. 3.Department of Information Science and, Electronic EngineeringZhejiang UniversityHangzhouChina

Personalised recommendations