首页 | 本学科首页   官方微博 | 高级检索  
     

一种基于小波变换的图像增强方法
引用本文:宋庆峰,吕绪良,隋明序,卢爱军. 一种基于小波变换的图像增强方法[J]. 光电技术应用, 2014, 0(6): 39-42
作者姓名:宋庆峰  吕绪良  隋明序  卢爱军
作者单位:解放军理工大学,江苏 南京,210007
摘    要:针对部分灰度图像分辨率和对比度低、噪声大、视觉特性差等特点,提出了一种基于小波变换和直方图均衡的新的图像增强方法。该方法将小波变换的多尺度、多分辨率的特点和直方图均衡化的方法相结合,同时再辅以中值滤波去噪和同态滤波增强,从而在很大程度上克服了单一的直方图均衡化进行图像增强时会丢失图像细节信息、增强图像噪声等的不足。实验结果验证文中方法对图像的分辨率和对比度增强有很好的效果。

关 键 词:图像增强  小波变换  同态滤波  直方图均衡

Image Enhancement Method Based on Wavelet Transform
SONG Qing-feng,LV Xu-liang,SUI Ming-xu,LU Ai-jun. Image Enhancement Method Based on Wavelet Transform[J]. Electro-Optic Technology Application, 2014, 0(6): 39-42
Authors:SONG Qing-feng  LV Xu-liang  SUI Ming-xu  LU Ai-jun
Affiliation:(PLA University of Science and Technology, Nanjing 210007, China)
Abstract:According to the characteristics of some gray images such as low resolution and contrast, high noise and poor visual characteristics, a new image enhancement method based on wavelet transform and histogram equal?ization is proposed. The characteristics of wavelet transform such as multi-scale and multi-resolution are incorporat?ed with histogram equalization method in the method, and assisted with median filter de-noising and homomor?phism filtering enhancement. So the shortcomings such as image detail loss with single histogram equalization im?age enhancement method and enhancement image noise are overcome. Experimental results show that the method has better effect for image resolution and contrast enhancement.
Keywords:image enhancement  wavelet transform  homomorphism filtering  histogram equalization
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号