东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2005, Vol. 26 ›› Issue (6): 527-530.DOI: -

• 论著 • 上一篇    下一篇

基于小波变换的图像增强算法

曾鹏鑫;么健石;陈鹏;徐心和   

  1. 东北大学信息科学与工程学院;沈阳炮兵学院自行火炮系;东北大学信息科学与工程学院;东北大学信息科学与工程学院 辽宁沈阳　110004
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2005-06-15 发布日期:2013-06-24
  • 通讯作者: Zeng, P.-X.
  • 作者简介:-
  • 基金资助:
    国家高技术研究发展计划项目(2001AA422270);;国家预科研项目

Approach to wavelet-based image enhancement algorithm

Zeng, Peng-Xin (1); Yao, Jian-Shi (2); Chen, Peng (1); Xu, Xin-He (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; (2) Self-Propelled Gun Department, Shenyang Artillery College, Shenyang 110162, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2005-06-15 Published:2013-06-24
  • Contact: Zeng, P.-X.
  • About author:-
  • Supported by:
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摘要： 结合小波变换中相关系数理论,提出了一种基于小波变换的图像增强算法,该算法先区分小波域中由细节及噪声产生的高频系数,对由细节产生的信息进行增强,对噪声进行抑制·解决了通常算法中增强细节信号的同时也放大了噪声这个问题·实验表明,该算法在得到很好的图像增强的同时,能很好地抑制噪声,对于多噪声环境下的弱细节信号能达到很好的增强效果·

关键词: 小波变换, 图像增强, 降噪, 相关性, 噪声

Abstract: A wavelet-based algorithm is proposed for image contrast enhancement, which distinguishes the HF coefficients due to signal from those due to noise with the correlation between wavelet planes, then, increases wavelet coefficients due to signal and suppresses those due to noise. The algorithm solves the problem that some conventional enhancement methods enhance noise visibility at the same time enhance signal visibility. Experience results show that the algorithm can achieve an excellent balance between the enhancement of subtle image detail and the avoidance of noise amplification, and enhance often weak signal features against a background of relatively high noise.

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