Shearlet-based hard-thresholding for interfered infrared image denoising

Ruibin Zou; Caicheng Shi; Erke Mao

doi:10.1117/12.895206

26 August 2011 Shearlet-based hard-thresholding for interfered infrared image denoising

Ruibin Zou, Caicheng Shi, Erke Mao

Proceedings Volume 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications; 819304 (2011) https://doi.org/10.1117/12.895206
Event: International Symposium on Photoelectronic Detection and Imaging 2011, 2011, Beijing, China

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.

Citation Download Citation

Ruibin Zou, Caicheng Shi, and Erke Mao "Shearlet-based hard-thresholding for interfered infrared image denoising", Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 819304 (26 August 2011); https://doi.org/10.1117/12.895206

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