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Table 1 Denoised results for polluted “lenna” by adaptive wavelet tight frames and the corresponding non-adaptive ones in terms of different filter sizes

From: Adaptive tight frame based multiplicative noise removal

Initial tight frame

Filter size

Non-adaptive algorithm

Adaptive algorithm

 

\(2 \times 2\)

31.25

31.54

Haar wavelet

\(4 \times 4\)

32.91

33.89

 

\(8 \times 8\)

33.16

34.64

 

\(2 \times 2\)

31.26

31.45

Local DCT

\(4 \times 4\)

33.57

33.85

 

\(8 \times 8\)

34.32

34.68

 

\(3 \times 3\)

32.07

33.26

Linear framelet

\(7 \times 7\)

33.12

34.63

 

\(15 \times 15\)

33.32

34.77