Infrared image denoising based on Contourlet transform

ZHOU Xin; LIN Yu-chi; SONG Le; HUANG Yin-guo

doi:10.13873/j.1000-97872008.03.016

Chinese

您当前的位置：

首页 >

文章列表页 >

Infrared image denoising based on Contourlet transform

更新时间：2025-09-11

- Infrared image denoising based on Contourlet transform
- Issue 3, Pages: 37-38+42(2008)
- 作者机构：
  
  1. 天津大学精密测试技术及仪器国家重点实验室
  2. 天津大学精密测试技术及仪器国家重点实验室,天津,300072
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872008.03.016
  CLC： TP391.41
- Published：2008
- 稿件说明：
移动端阅览
[1]周欣,林玉池,宋乐,黄银国.基于Contourlet变换的红外图像去噪技术[J].传感器与微系统,2008(03):37-38+42.

ZHOU Xin, LIN Yu-chi, SONG Le, et al. Infrared image denoising based on Contourlet transform[J]. 2008, (3): 37-38+42.
[1]周欣,林玉池,宋乐,黄银国.基于Contourlet变换的红外图像去噪技术[J].传感器与微系统,2008(03):37-38+42. DOI： 10.13873/j.1000-97872008.03.016.

ZHOU Xin, LIN Yu-chi, SONG Le, et al. Infrared image denoising based on Contourlet transform[J]. 2008, (3): 37-38+42. DOI： 10.13873/j.1000-97872008.03.016.

摘要

研究了一种基于Contourlet变换的红外图像去噪技术。在Contourlet域中使用硬阈值函数对Con-tourlet变换后的系数进行处理

经反变换即可得到较好的去噪图像。实验结果表明:与传统的小波阈值去噪方法相比

该方法能够更有效地保留红外图像的细节和纹理

具有更好的视觉效果和较优的信噪比。

Abstract

A denoising method of infrared image based on Contourlet transform is presented.In selecting the hard threshold function to process the coefficients in the Contourlet domain

the denoised image of superior quality via inverse transforming can be thereby obtained.The result of the experiment indicates that compared with the traditional algorithms of the wavelet

this method can preserve the detail and the texture more effectively

and has better image effect and the SNR value.

关键词

Keywords

references

基于Contourlet变换的自适应图像去噪方法 [J]. 董鸿燕,扬卫平,沈振康. 红外技术 . 2006(09)

Contourlet:一种有效的方向多尺度变换分析方法 [J]. 易文娟,郁梅,蒋刚毅. 计算机应用研究 . 2006(09)

Views

198

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Human pulse acquisition and heart rate evaluation system based on flexible piezoelectric thin film

Railway foreign body intrusion detection method based on improved mixed Gaussian model

Threshold self-adaptive optimizing de-noising method based on wavelet transform

Dynamic embedded audio hiding algorithm in wavelet domain

Improved K-means method for infrared image mutual inductor segmentation

Related Author

YE Guoyong

XIAO Zhenyu

TANG Xiaowu

JIN Shaobo

ZHAO Zirui

NING Zheng

NIU Hongxia

ZHANG Zhaoxin

Related Institution

School of Material and Chemical Engineering，Zhengzhou University of Light Industry

School of Mechanical and Electrical Engineering，Zhengzhou University of Light Industry

Gansu Provincial Key Laboratory of Traffic Information Engineering and Control

Automatic Control Institute,Lanzhou Jiaotong University

College of Electronics and Information Engineering,Sichuan University

⁰