Novel detail preserving Retinex algorithm for image enhancement

被引：0
|
作者：
Ma S.-P. [1 ]
Zhang M. [1 ]
Bi D.-Y. [1 ]
Xu Y.-L. [1 ]
机构：
[1] Engineering College of Air Force Engineering Univ.
来源：
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2010年 / 37卷 / 03期
关键词：
Color constancy; Image enhancement; Lifting algorithm; Retinex theory;
D O I：
10.3969/j.issn.1001-2400.2010.03.028
中图分类号：
学科分类号：
摘要：
In image enhancement, due to the blurring problem of the Kimmel variation model based on the Retinex theory, a modification for the Kimmel model is presented. The new model modifies the Kimmel model by increasing an expression for preserving the detail, and then calculates the optimal illumination image by combining pyramid data structure and lifting algorithm, which reduces the computational complexity. Finally, the normal clipping stretch is deployed to process the reflectance image. Experiments show that this algorithm can effectively remove obscuration effect from color images.
引用
收藏
页码：541 / 546
页数：5
相关论文
共 7 条
  • [1] Funt B., Ciurea F., McCann J., Retinex in matlab, Journal of Electronic Imaging, 13, 1, pp. 48-57, (2004)
  • [2] Xu X., Chen Q., Pheng A., Et al., A fast halo-free image enhancement method based on retinex, Journal of Computer-Aided Design & Computer Graphics, 10, pp. 75-81, (2008)
  • [3] Tang L., Zhao C., Wang H., Shadow removal for road surface images based on anisotropic diffusion retinex, Journal of Image and Graphics, 2, pp. 81-85, (2008)
  • [4] Jobson D.J., Rahman Z., Woodell G.A., Properties and performance of a center/surround retinex, IEEE Trans on Image Processing, 6, 3, pp. 451-462, (1997)
  • [5] 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, 7, pp. 965-976, (1997)
  • [6] Kimmel R., Elad M., Shaked D., Et al., A Variational framework for retinex, International Journal of Computer Vision, 52, 1, pp. 7-23, (2003)
  • [7] Kimmel R., Shaked D., Elad M., Et al., Space sensitive color gamut mapping: a variational approach, IEEE Trans on Image Processing, 14, pp. 796-803, (2005)
1