Image contrast enhancement based sub-histogram equalization technique without over-equalization noise
- Authors
- Yoon, H.; Han, Y.; Hahn, H.
- Issue Date
- 2009
- Keywords
- Contrast Enhancement; Equalization Noise; Histogram Equalization. Histogram Region Equalization
- Citation
- World Academy of Science, Engineering and Technology, v.38, pp.176 - 182
- Journal Title
- World Academy of Science, Engineering and Technology
- Volume
- 38
- Start Page
- 176
- End Page
- 182
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/16601
- ISSN
- 2010-376X
- Abstract
- In order to enhance the contrast in the regions where the pixels have similar intensities, this paper presents a new histogram equalization scheme. Conventional global equalization schemes over-equalizes these regions so that too bright or dark pixels are resulted and local equalization schemes produce unexpected discontinuities at the boundaries of the blocks. The proposed algorithm segments the original histogram into sub-histograms with reference to brightness level and equalizes each sub-histogram with the limited extents of equalization considering its mean and variance. The final image is determined as the weighted sum of the equalized images obtained by using the sub-histogram equalizations. By limiting the maximum and minimum ranges of equalization operations on individual sub-histograms, the over-equalization effect is eliminated. Also the result image does not miss feature information in low density histogram region since the remaining these area is applied separating equalization. This paper includes how to determine the segmentation points in the histogram. The proposed algorithm has been tested with more than 100 images having various contrasts in the images and the results are compared to the conventional approaches to show its superiority. © 2009 WASET.ORG.
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Collections - College of Information Technology > ETC > 1. Journal Articles
- College of Information Technology > Department of Smart Systems Software > 1. Journal Articles
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