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Journal of Electronic Imaging

Spiking cortical model-based noise detector for switching-based filters
Author(s): Xuming Zhang; Wenguang W. Hou; Yi Zhan; Mingyue Ding; Yu Xiao; Zhouping Yin
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Paper Abstract

A novel noise detector based on the spiking cortical model (SCM) is proposed for switching-based filters. In the proposed noise detector, the corrupted pixels are firstly identified as noise candidates based on the firing time of the SCM, and then the misclassified noise-free pixels are dismissed from noise candidates based on the absolute difference of the firing time between the considered neurons and their neighboring neurons. Extensive simulations show that although the proposed noise detector generally has lower computational efficiency than several state-of-the-art noise detectors, it outperforms all the compared noise detectors in noise detection accuracy by classifying the pixels in the corrupted images with very few or no mistakes at the various noise ratios.

Paper Details

Date Published: 2 April 2012
PDF: 8 pages
J. Electron. Imaging. 21(1) 013020 doi: 10.1117/1.JEI.21.1.013020
Published in: Journal of Electronic Imaging Volume 21, Issue 1
Show Author Affiliations
Xuming Zhang, Huazhong Univ. of Science and Technology (China)
Wenguang W. Hou, Huazhong Univ. of Science and Technology (China)
Yi Zhan, Huazhong Univ. of Science and Technology (China)
Mingyue Ding, Huazhong Univ. of Science and Technology (China)
Yu Xiao, Central China Normal Univ. (China)
Zhouping Yin, Huazhong Univ. of Science and Technology (China)


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