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Proceedings Paper

Shearlet-based hard-thresholding for interfered infrared image denoising
Author(s): Ruibin Zou; Caicheng Shi; Erke Mao
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Paper 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.

Paper Details

Date Published: 26 August 2011
PDF: 6 pages
Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 819304 (26 August 2011); doi: 10.1117/12.895206
Show Author Affiliations
Ruibin Zou, Beijing Institute of Technology (China)
Caicheng Shi, Beijing Institute of Technology (China)
Erke Mao, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 8193:
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications
Jeffery J. Puschell; Junhao Chu; Haimei Gong; Jin Lu, Editor(s)

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