基于直方图均衡化的图像增强技术综述

C. R. Nithyananda, A. Ramachandra, Preethi
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引用次数: 26

摘要

多媒体设备、移动电话和其他掌上设备是我们日常生活中不可或缺的一部分。图像和视频处理在现代信息和通信技术中起着关键作用。从相机中捕获的图像需要在各种应用程序中使用之前进行增强。噪点去除、对比度提高和亮度调整是相机拍摄后对原始图像进行的常见操作。研究人员提出了多种图像增强技术,包括数值方法、统计学、信号处理等。本文研究了直方图均衡化(HE)方法。HE是一种重要的图像增强方案,已经提出了许多不同的改进方案。我们研究了本工作中最重要的和被高度引用的HE技术,并讨论了它们的优点、局限性和应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review on Histogram Equalization based Image Enhancement Techniques
The multimedia devices, mobile phones and other palmtop devices are integral part of our day to day life. Image and video processing plays a key role in modern day information and communication technologies. Images captured from cameras needs enhancement for before using them in various applications. Noise removal, contrast improvement, and adjustment of brightness are common operations performed on raw images after capturing from camera. Researchers have proposed variety of image enhancement techniques by using numerical methods, statistics, signal processing. In this paper, Histogram Equalization (HE) method is studied. HE is an important image enhancement scheme and many variations of HE has been proposed. We study most important and highly cited HE techniques in this work and discuss their advantages, limitations and applications.
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