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.
This work was partially supported by Innovation Fund of Jiangxi University of Finance and Economics; Fund of Key Laboratory of High-Performance Computing Technology (JXHC-2005-004), Jiangxi Province; and the Science and Technique Program of Educational Department of Jiangxi Province (No: [2006]232).
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Stark, J.A.: Adaptive Image Contrast Enhancement Using Generalizations of Histogram Equalization. IEEE Trans. on Image Processing. 9(5), 889–896 (2000)
Caselles, V., Lisani, J.L., Morel, J.M.: Shape Preserving Local Histogram Modification. IEEE Trans. on Image Processing 8(2), 220–230 (1999)
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)
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)
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)
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)
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)
Hanmandlu, M., Jha, D., Sharma, R.: Color image enhancement by fuzzy intensification. In: International Conference on Pattern Recognition, Barcelona, vol. 3 (2000)
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)
Russ, J.C.: The Image Processing Handbook, 4th edn. CRC Press, Boca Raton (2002)
Jain, A.K.: Fundamentals of Digital Image Processing. Prentice Hall, Englewood Cliffs (1989)
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)
Richard, G.: The software optimization Cookbook: High-performance Recipes for the Intel Architecture, Intel Press, USA (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, Z., Xue, Q., Chen, G., Zeng, W., Fang, Z., Wu, S. (2006). A New Color Image Enhancement Algorithm for Camera-Equipped Mobile Telephone. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892960_76
Download citation
DOI: https://doi.org/10.1007/11892960_76
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46535-5
Online ISBN: 978-3-540-46536-2
eBook Packages: Computer ScienceComputer Science (R0)