Browse > Article

DWTHE: Decomposable Weighted and Thresholded Histogram Equalization  

Kim, Mary (서울여자대학교 컴퓨터학과)
Chung, Min-Gyo (서울여자대학교 미디어학부)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.15, no.11, 2009 , pp. 856-860 More about this Journal
Abstract
Wang and Ward developed an image contrast enhancement method called WTHE (Weighted and Thresholded Histogram Equalization). In this paper, we propose an improved variant of WTHE called DWTHE(Decomposable WTHE) that enhances WTHE through the use of histogram decomposition. Specifically, DWTHE divides an input histogram by using image's mean brightness or equally-spaced brightness points, computes a probability value for each sub-histogram, modifies the sub-histograms by using those probability values as weights, and then performs histogram equalization on the modified input histogram. As opposed to WTHE that uses a single weight, DWTHE uses multiple weights derived from histogram decomposition. Experimental results show that the proposed method outperforms the previous histogram equalization based methods.
Keywords
WTHE; Histogram Equalization; Weight; Histogram Decomposition;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Y. Wang, Q. Chen and B. M. Zhang, “Image Enhancement based on Equal Area Dualistic sub-Image Histogram Equalization Method,” IEEE Trans-actions on Consumer Electronics, vol.45, no.1, pp.68-75, February 1999   DOI   ScienceOn
2 Y. T. Kim, "Contrast Enhancement using Bright-ness Preserving Bi-Histogram Equalization," IEEE Transactions on Consumer Electronics, vol.43, no.1, pp.1-8, February 1997   DOI   ScienceOn
3 S. Chen and A. R. Ramli, “Contrast Enhancement using Recursive Mean-Separate Histogram Equa-lization for Scalable Brightness Preservation,” IEEE Transactions on Consumer Electronics, vol.49, no.4, pp.1301-1309, November 2003   DOI   ScienceOn
4 Qing Wang, Rabab Ward, “Fast Image/Video Contrast Enhancement Based on WTHE,” IEEE Transactions on Consumer Electronics, vol.53, no.2, pp.757-764, May 2007   DOI   ScienceOn
5 K. S. Sim, C. P. Tso, and Y. Y. Tan, “Recursive sub-image histogram equalization applied to gray scale images,” Pattern Recognition Letters, vol.28, no.10, pp.1209-1221, 2007   DOI   ScienceOn