Infrared Image Denoising Based on Peer Groups with Median Filtering and Wiener Filtering

Bao Shu  Li; Ke Bin Cui; Xue Tao Xu; Wen Li Wei

doi:10.4028/www.scientific.net/AMM.401-403.1059

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 401-403Infrared Image Denoising Based on Peer Groups with...

Infrared Image Denoising Based on Peer Groups with Median Filtering and Wiener Filtering

Abstract:

With characteristics of impulse noise and Gaussian noise, we propose a new denoising method to infrared image. We use Sobel operator to obtain boundary information, and determine the denoising method based on the pixel number of the peer group, denoising impulse noise and Gaussian noise with median filter and Wiener filtering. Experimental results are provided to show that the proposed filter achieves a promising performance in PSNR and boundary information, compared with the median filtering, Wiener filtering and peer group algorithms.

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Periodical:

Applied Mechanics and Materials (Volumes 401-403)

Pages:

1059-1062

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https://doi.org/10.4028/www.scientific.net/AMM.401-403.1059

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Online since:

September 2013

Authors:

Bao Shu Li, Ke Bin Cui, Xue Tao Xu, Wen Li Wei

Keywords:

De-Noising, Median Filtering, Peer Group, Wiener Filtering

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