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弹箭与制导学报 >

2012 , Vol. 32 >Issue 3: 35 - 38

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2012.03.004

导弹与制导技术

改进的小波阈值算法在红外图像去噪中的应用

  • 沙俊名 ,
  • 刘泽乾 ,
  • 庞帅 ,
  • 夏志申
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  • 空军航空大学航空军械工程系,长春 130022

沙俊名(1985-),男,辽宁人,硕士研究生,研究方向:制导武器的作战使用与仿真。

收稿日期: 2011-05-11

  网络出版日期: 2025-05-29

基金资助

军队重点科研基金

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The Application of an Improved Wavelet Threshold Algorithm in Infrared Image De-noising

  • SHA Junming ,
  • LIU Zeqian ,
  • PANG Shuai ,
  • XIA Zhishen
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  • Aviation Armament Engineering Department, The Aviation University of Air Force, Changchun 130022, China

Received date: 2011-05-11

  Online published: 2025-05-29

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摘要

航空武器在制导末段捕捉红外图像时,由于受复杂条件的影响,获取的红外图像会产生大量噪声,这对图像后期的分析和处理带来很大影响。文中在Donoho的小波阈值去噪算法基础上对阈值函数和阈值选取方法做了研究并加以改进,将其应用于航空武器获取的红外图像上。实验结果和数据表明改进后的算法不仅保留了图像的细节信息,还避免了振荡的产生。应用该方法对红外图像进行去噪处理有效地提高了航空武器末段精确打击的能力。

关键词： 红外图像; 小波变换; 图像去噪; 阈值函数

本文引用格式

沙俊名 , 刘泽乾 , 庞帅 , 夏志申 . 改进的小波阈值算法在红外图像去噪中的应用[J]. 弹箭与制导学报, 2012 , 32(3) : 35 -38 . DOI: 10.15892/j.cnki.djzdxb.2012.03.004

Abstract

When an aerial weapon captures the infrared image at the end of guidance, the gained infrared images have much noise because of complex conditions; witch will greatly affect image processing and analysis. In the paper, an important wavelet threshold algorithm with optimized threshold and improved threshold functions based on the wavelet threshold method was proposed by Donoho and which was applied to the infrared image gained by the aerial weapon. The result and data of the experiment show that the method has reserved the detail of the infrared image and avoided the oscillation. Using the improved wavelet threshold algorithm for infrared image de-noising can enhance the capability of aerial weapon's accurate strike.

Key words： infrared image; wavelet transform; image de-noising; threshold function

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参考文献

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