摘要
针对传统的直方图均衡化算法易导致图像细节信息丢失和噪声放大的特点,本文在直方图均衡化算法的基础上加以改进,将图像的高频分量和低频分量分开进行处理,然后再进行合并去噪,能够在增强图像整体视觉效果的同时较好地保持图像细节,抑制图像噪声.实验结果表明,该技术能使图像的细节和清晰度得到明显的增强.
In view of the drawbacks of the traditional histogram equalization that may cause graph details loss and noise amplification, this article improves the traditional histogram equalization by dealing with the high frequency weight and low frequency weight separately, and then dissolving the noise amalgamately. As a result, image contrast is enhanced and image details are presered simultaneously, and at the same time image noise can be restricted. Experiment results reveal that this technology can greatly improve the image details and clearness.
出处
《信阳师范学院学报（自然科学版）》
CAS
北大核心
2008年第4期601-603,共3页
Journal of Xinyang Normal University(Natural Science Edition)
基金
国家自然科学基金项目(60475040)
河南省自然科学基金项目(0511012200)
关键词
图像增强
直方图均衡
中值滤波
image enhaneenment
histogram equalization
median filter
