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• W2017903250 abstract "High-intensity impulse noise removal is a challenging task to restore the image. Weber’s law states that the ratio of the increment threshold to the background intensity is constant. Inspired by Weber’s law (WL), in this paper, a novel image de-noising method, named “Weber’s law Noise Identifier” (WLNI), is proposed. By applying WLNI to a corrupted image, we can identify 100% of the impulse noise. For noise removal, we propose two methods to replace pixels classified as noise pixels. Experimental results show that our proposed WLNI cannot only efficiently identify the impulse noise, but can also preserve the detailed information of an image relative to existing methods more efficiently." @default.
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• W2017903250 date "2014-11-01" @default.
• W2017903250 modified "2023-10-12" @default.
• W2017903250 title "Removal of high-intensity impulse noise by Weber’s law Noise Identifier" @default.
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• W2017903250 doi "https://doi.org/10.1016/j.patrec.2014.06.016" @default.
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