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Adaptive image enhancement approach based on double-plateaus histogram
Author(s):
1. HANI M. IBRAHEM: Mathematics & Computer Science dept. Faculty of science, Menoufiya University, Egypt; Faculty of Science and Computer Engineering, Taibah University, Yanbu, KSA
2. MAHMOUD ELMEZAIN: Computer Science Division, Faculty of Science, Tanta University, Tanta, Egypt; Faculty of Science and Computer Engineering, Taibah University, Yanbu, KSA
3. SAHAR SHOMAN: Mathematics & Computer Science dept. Faculty of science, Menoufiya University, Egypt
Abstract:
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.
Page(s): 1675-1685
DOI: DOI not available
Published: Journal: Journal of Theoretical and Applied Information Technology, Volume: 98, Issue: 10, Year: 2020
Keywords:
Doubleplateau histogram , Image histogram
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