Seong J. Yang

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In this paper, an improved Spatially Adaptive Denoising Algorithm (SADA) is proposed which leads to satisfactory results in terms of objective and subjective when the image is corrupted with the SNR level less than 10dB of additive white Gaussian noise. In general, suppression of Gaussian noise poses a trade-off problem between denoising and preserving the(More)
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