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- W2014214892 abstract "Many denoising algorithms have been proposed to recover a noise corrupted image. However, most of them cannot well recover a heavy noise corrupted image with noise density above 70%. In this Letter, we propose a new approach to efficiently remove background noise by detecting and modifying noisy pixels in an image. If the center pixel of a local window is classified to noisy, this center pixel is replaced by a weighted median value on an optimum direction, enabling impulse noise to be removed. Conversely, the center pixel is kept unchanged when it is classified to noise-free, yielding the quality of restored image being well maintained. Experimental results show that the proposed approach cannot only efficiently suppress high-density impulse noise, but also can well preserve the detailed information of an image." @default.
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- W2014214892 date "2012-07-01" @default.
- W2014214892 modified "2023-10-18" @default.
- W2014214892 title "Denoising of salt-and-pepper noise corrupted image using modified directional-weighted-median filter" @default.
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- W2014214892 doi "https://doi.org/10.1016/j.patrec.2012.03.025" @default.
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