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Smooth sigmoid wavelet shrinkage for non-parametric estimation

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Academic year: 2021

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Figure

Fig. 1. Some standard WaveShrink functions.
Fig. 2. The SSBS functions δ τ , λ for different values of τ . It follows that τ parameterizes the curvature of the arc A ˜0O A , that is, the arc of the SSBS function in the interval ] − λ , λ [
Table 1. Average PSNRs computed over 10 AWGN realizations.
Fig. 4. BLS-GSM and SSBS denoising of ‘Lena’ image corrupted by AWGN with standard deviation σ = 35 .

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