Sarmila Padhy

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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)
In this paper, a spatially adaptive denoising algorithm is proposed which provides satisfactory results when the image is corrupted with the additive white Gaussian noise. Generally, suppression of Gaussian noise poses a trade-off problem between suppressing the noise and preserving the detailed information of the image. Detection of noise and suppression(More)
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