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Mathematical Problems in Engineering
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Mathematical Problems in Engineering
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2015
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Article
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Tab 2
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Research Article
Image Denoising via
Gradient Minimization with Effective Fidelity Term
Table 2
Denoising results of the Pepper image with different noise levels.
Pepper
Algorithm
PSNR
MSSIM
TV
27.78
0.7695
LMMSE
28.28
0.8209
BLF
25.89
0.7472
LARK
28.33
0.8400
NL-Means
27.96
0.7697
K-SVD
28.59
0.8355
LGM
19.87
0.6211
Proposed
28.72
0.8479
TV
24.35
0.5649
LMMSE
26.84
0.7809
BLF
24.63
0.6658
LARK
26.64
0.8001
NL-Means
26.35
0.7453
K-SVD
27.06
0.7934
LGM
18.42
0.5152
Proposed
27.05
0.8102