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- W3000017983 abstract "We propose to use overlapped and adaptive Gaussian smoothing (OAGS) and convolutional refinement networks (CRN) to recover images corrupted by salt-and-pepper noise. First, the OAGS method identifies noise pixels and recover them. Then, CRN further improve and restore the recovered results with sharper and clearer edges. Experimental results demonstrate the proposed OAGS+CRN method significantly outperforms state-of-the-art denoising methods." @default.
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- W3000017983 date "2019-12-01" @default.
- W3000017983 modified "2023-10-18" @default.
- W3000017983 title "Image Denoising Based on Overlapped and Adaptive Gaussian Smoothing and Convolutional Refinement Networks" @default.
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- W3000017983 doi "https://doi.org/10.1109/ism46123.2019.00032" @default.
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