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MISSILES AND GUIDANCE TECHNOLOGY

Infrared Image De-noising Based on Mathematical Morphology and Wavelet Fusion

  • LIU Jinmei ,
  • YANG Li ,
  • LUO Chixing
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  • 1 Xuzhou Air Force College, Jiangsu Xuzhou 221000, China
    2 No.95140 Unit, Guangdong Huizhou 516000, China

Received date: 2009-06-25

  Online published: 2025-05-28

Abstract

For enhancing guidance effect of infrared imaging guided missiles, the image quality of the missile must be enhanced, denoising of Infrared Image is needed. For the phenomenon that traditional method such as image smoothing, median filter and wavelet analysis can't perfectly de noise the image with heavy density noise, a method that combines mathematical morphology with wavelet fusion and simulation was proposed. The result of simulation shows that the effect of the method based on mathematical morphology and wavelet fusion to process noised image will be better than traditional image de noising methods.

Cite this article

LIU Jinmei , YANG Li , LUO Chixing . Infrared Image De-noising Based on Mathematical Morphology and Wavelet Fusion[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2010 , 30(5) : 73 -75 . DOI: 10.15892/j.cnki.djzdxb.2010.05.047

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Outlines

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