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基于四元小波变换自适应双变量模型的图像去噪
  • ISSN号：1000-7180
  • 期刊名称：微电子学与计算机
  • 时间：2015.3.8
  • 页码：81-85
  • 分类：TN911[电子电信—通信与信息系统;电子电信—信息与通信工程]
  • 作者机构：[1]无损检测技术教育部重点实验室南昌航空大学,南昌330063
  • 相关基金：国家自然科学基金（61363050）;江西省自然科学基金（20122BAB201039）;无损检测技术教育部重点实验室开放基金（ZD201229003）;江西省教育厅科技项目（GJJ13515）
  • 相关项目：退化四元小波关键技术研究
作者： 盖杉|
关键词： Q—shift滤波器, 双树复小波变换, 超声缺陷信号, 降噪, Q-shift filters, dual tree complex wavelet transform, ultrasonic flaw signals, denoising
中文摘要：

为提高对时变信号的分析处理能力，设计了一组同时满足抗混淆、完全重构和正交化的Q—shift滤波器。与传统Q—shift滤波器相比，其权系数可以根据输入信号特性进行自适应调整。将基于自适应Q—shift滤波的双树复小波变换用于对超声缺陷信号进行阈值降噪，实验结果表明，与Q—shift10／10和DWT两种传统方法相比，去噪后信号的信噪比可以分别提高1．03dB和1．97dB。

英文摘要：

In order to improve analyzing and processing capability for time-varying signals, Q-shift filters meeting no aliasing, perfect reconstruction and orthogonality are designed in this paper. Compared to the traditional Q-shift filters, coefficients of the proposed ones can be adaptively computed according to different characteristic of the input signals. While applying the adaptive Q-shift dual tree complex wavelet based threshold denoising for ultrasonic flaw signals, the experimental results show that the signal-to-noise of the original signals can be enhanced greatly.

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期刊信息
  • 《微电子学与计算机》
  • 中国科技核心期刊
  • 主管单位:中国航天科技集团公司
  • 主办单位:中国航天科技集团公司第九研究院第七七一研究所
  • 主编：李新龙
  • 地址：西安市雁塔区太白南路198号
  • 邮编：710065
  • 邮箱：mc771@163.com
  • 电话：029-82262687
  • 国际标准刊号：ISSN：1000-7180
  • 国内统一刊号：ISSN：61-1123/TN
  • 邮发代号:52-16
  • 获奖情况:
  • 航天优秀期刊,陕西省优秀期刊一等奖
  • 国内外数据库收录:
  • 荷兰文摘与引文数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:17909