| Related citation: | Huimin Hao,Wenbin Xin,Minglong Bu,He Wang,Yuan Lan,Xiaoyan Xiong,Jiahai Huang.Contrast Enhancement Using Weighted Coupled Histogram Equalization with Laplace Transform[J].Journal of Harbin Institute Of Technology(New Series),2022,29(4):32-40.DOI:10.11916/j.issn.1005-9113.20070.. |
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| Author Name | Affiliation | | Huimin Hao | College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China | | Wenbin Xin | College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China | | Minglong Bu | College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Harbin Electric Machinery Company Limited, Harbin 150040, China | | He Wang | College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China | | Yuan Lan | College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China | | Xiaoyan Xiong | College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China | | Jiahai Huang | College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China |
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| Abstract: |
| Histogram equalization is a traditional algorithm improving the image contrast, but it comes at the cost of mean brightness shift and details loss. In order to solve these problems, a novel approach to processing foreground pixels and background pixels independently is proposed and investigated. Since details are mainly contained in the foreground, the weighted coupling of histogram equalization and Laplace transform were adopted to balance contrast enhancement and details preservation. The weighting factors of image foreground and background were determined by the amount of their respective information. The proposed method was conducted to images acquired from CVG-UGR and US-SIPI image databases and then compared with other methods such as clipping histogram spikes, histogram addition, and non-linear transformation to verify its validity. Results show that the proposed algorithm can effectively enhance the contrast without introducing distortions, and preserve the mean brightness and details well at the same time. |
| Key words: contrast enhancement weighted processing histogram equalization Laplace transform |
| DOI：10.11916/j.issn.1005-9113.20070. |
| Clc Number:TP3 |
| Fund: |
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| Descriptions in Chinese: |
| 基于直方图均衡化和拉普拉斯变换的加权耦合图像增强对比度研究 郝惠敏1, 辛文斌1, 卜明龙1, 2, 王鹤1, 兰媛1, 熊晓燕1, 黄家海1 （1. 太原理工大学机械与运载工程学院，太原 030024； 2. 哈尔滨电机厂有限责任公司，哈尔滨 150040） 中文说明：直方图均衡化是一种传统的提高图像对比度的算法，但是其代价是图像平均亮度的偏移及细节丢失。为解决这些问题，提出一种独立处理图像前景像素和背景像素的新方法。由于图像细节信息主要包含在前景中，因此采用直方图均衡化及拉普拉斯变换的加权耦合来平衡对比度增强和细节保留。其中图像前景和背景的加权因子由它们各自的信息量决定。所提方法被应用于从CVG-UGR和USC-SIPI图像数据库中获得的图像，并且与其他方法进行比较，如剪切直方图尖峰，直方图加法与非线性变换，以验证其有效性。实验结果表明所提算法在不引入失真的情况下，可以有效地增强图像对比度，同时能很好的保存图像的平均亮度和细节。 关键词：对比度增强；加权处理；直方图均衡化；拉普拉斯变换 |
