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algorithm NFPCA against MMSE (Umbaugh,
1998), AMVR (Umbaugh, 1998), and GMNR.
The values of the variances to model the noise in
images processed by NFPCA represent the
maximum of the variances per pixel resulted from
the decorrelation process. The implementation of the
GMNR algorithm used the masks
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A synthesis of the comparative analysis on the
quality and efficiency corresponding to the
restoration algorithms presented in the paper is
supplied in Table 1.
Table 1.
Restoration
algorithm
Type of
noise
Mean
error/pixel
MMSE 52.08
AMVR
U(30,80)
10.94
MMSE 50.58
AMVR
U(40,70)
8,07
MMSE 37.51
AMVR 11.54
GMNR 14.65
NFPCA
N(40,200)
12.65
MMSE 46.58
AMVR 9.39
GMNR 12.23
NFPCA
N(50,100)
10.67
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