期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：10
页码：1675-1685
出版社：Journal of Theoretical and Applied
摘要：An adaptive contrast enhancement approach is formalized in this work. The approach is relied on doublePlateaus histogram enhancement. It is composed of three stages. In first stage, the image histogram is clipping relied on self-adaptive double-plateaus procedure. The second stage uses the contrast factor parameter in automatic classification approach to split the clipped image into overexposed and underexposed sub image. The contrast enhancement approach based on statistical operations and neighborhood processing is applied on each sub image. The contrast is enhanced without losing the original histogram characteristics. In addition, this approach doesn’t require a threshold parameter in its operation. The results show that this approach is successful in increasing image enhancement, with other state-of-theart approaches being outperformed in term of visual performance and quantitative tests.
