Shearlet-based hard-thresholding for interfered infrared image denoising

Ruibin Zou*, Caicheng Shi, Erke Mao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

An infrared imaging device is effected by external electromagnetic interference(EMI), and images appear salt and pepper noise (not excluded blind element and flash point of infrared focal plane arrays) and striping noise. It causes an serious effect on the target detection and tracking. Median filter can not filter out the noise. It urgently needs to resolve the problem. This paper presents a denoising method based on the shearlet transform, and takes hard-thresholding method, to eliminate the infrared image denoising. Simulation results show that this method effectively eliminates the noise, and retains the original image information. At the same time, in order to show superiority, the method is compared with the median filtering denoising, db wavelet denoising, curvelet denoising method in entropy, PSNR, LSCR and so on, which shows advantages.

Original languageEnglish
Title of host publicationInternational Symposium on Photoelectronic Detection and Imaging 2011
Subtitle of host publicationAdvances in Infrared Imaging and Applications
DOIs
Publication statusPublished - 2011
EventInternational Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications - Beijing, China
Duration: 24 May 201124 May 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8193
ISSN (Print)0277-786X

Conference

ConferenceInternational Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications
Country/TerritoryChina
CityBeijing
Period24/05/1124/05/11

Keywords

  • Denoising
  • Hard-thresholding
  • Infrared Image
  • Shearlet Transform

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