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• W2078677256 abstract "The denoising of Gaussian additive white noise is a classical problem in signal and image processing. In this paper, we classify the most important wavelet denoising methods into different categories and give a brief overview of each method classified. In general, the recently developed block matching and 3D filtering (BM3D) algorithm performs much better than other existing methods published in the literature. We recommend using this method for image denoising because it is currently one of the state-of-the-art denoising methods. The non-local means method and the optimal spatial adaptation (OSA) method are also very successful methods in image denoising." @default.
• W2078677256 created "2016-06-24" @default.
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• W2078677256 date "2013-06-01" @default.
• W2078677256 modified "2023-09-24" @default.
• W2078677256 title "Wavelet-based denoising: A brief review" @default.
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• W2078677256 doi "https://doi.org/10.1109/icicip.2013.6568140" @default.
• W2078677256 hasPublicationYear "2013" @default.
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