首页 | 本学科首页   官方微博 | 高级检索  
     

一种级联的激光主动成像图像融合降噪算法
引用本文:张腾飞,张合新,孟飞,强钲捷.一种级联的激光主动成像图像融合降噪算法[J].激光与红外,2015,45(9):1133-1137.
作者姓名:张腾飞  张合新  孟飞  强钲捷
作者单位:第二炮兵工程大学,陕西 西安 710025
摘    要:针对激光主动成像图像混合噪声的特点,提出了一种投票中值滤波和整数提升小波级联的融合降噪算法。首先对激光图像进行噪声像素点检测,区分噪声点与非噪声点;而后采用投票中值滤波对噪声点进行处理,抑制脉冲噪声;然后采用整数提升小波变换对图像进行Bayes自适应阈值去噪,抑制散斑噪声;最后通过逆变换得到去噪图像。通过实验比对结果表明,该方法在具有良好的去噪、边缘保持性能的同时,还具有较为理想的实时性。

关 键 词:激光主动成像  图像去噪  投票中值滤波  提升小波变换  实时性

Cascaded image fusion de-noising algorithm for laser active imaging
ZHANG Teng-fei,ZHANG He-xin,MENG Fei,QIANG Zheng-jie.Cascaded image fusion de-noising algorithm for laser active imaging[J].Laser & Infrared,2015,45(9):1133-1137.
Authors:ZHANG Teng-fei  ZHANG He-xin  MENG Fei  QIANG Zheng-jie
Abstract:Aiming at complex noise of laser active imaging,an image fusion de-noising algorithm based on the voting median filter and integer lifting-wavelet transform was proposed.Firstly,the noise pixels of laser image were detected to distinguish noise points and non-noise points.Then,voting median filter was used to deal with noise points and suppress impulse noise.Besides,the noise image was decomposed with integer lifting-wavelet transform,and wavelet coefficients were processed with Bayes adaptive threshold method.Finally,the de-noised image was obtained by inverse transform.By analyzing the experimental results,this method has good de-noising performance and edge retention,as well as ideal real-time.
Keywords:laser active imaging  image de-noising  voting median filter  lifting-wavelet transform  real-time
本文献已被 万方数据 等数据库收录!
点击此处可从《激光与红外》浏览原始摘要信息
点击此处可从《激光与红外》下载全文
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