Information Technology Reference
In-Depth Information
TABLE 4.2
(Continued)
Algorithms
Criteria for the RGB color space
PSNR dB
MAE
CC
Q
NCD
CLCES ( βs 2 )
36.1233
2.7714
0.9955
0.9962
0.00200
CLCES ( T 1 , βs 1 )
36.1233
2.7714
0.9955
0.9962
0.00200
CLCES ( T 1 , βs 2 )
36.1233
2.7714
0.9955
0.9962
0.00200
Criteria for the YCbCr color space
LSB
36.0827
2.7948
0.9954
0.9962
0.00200
WLSB
36.0821
2.7948
0.9954
0.9962
0.00200
CLCES ( βs 1 )
36.0827
2.7948
0.9954
0.9962
0.00200
CLCES ( βs 2 )
36.0827
2.7948
0.9954
0.9962
0.00201
CLCES ( T 1 , βs 1 )
36.0827
2.7948
0.9954
0.9962
0.00200
CLCES ( T 1 , βs 2 )
36.0827
2.7948
0.9954
0.9962
0.00200
Criteria for the HSV color space
LSB
36.1222
2.7740
0.9954
0.9962
0.00200
WLSB
36.1222
2.7790
0.9954
0.9962
0.00200
CLCES ( βs 1 )
36.1201
2.7730
0.9951
0.9959
7.8233e-4
7.8233e-4
CLCES ( βs 2 )
36.1201
2.7730
0.9951
0.9959
CLCES ( T 1 , βs 1 )
36.1201
2.7730
0.9951
0.9959
7.8233e-4
CLCES ( T 1 , βs 2 )
36.1201
2.7730
0.9951
0.9959
7.8233e-4
From the experimental results from Tables (4.1) and (4.2), we depict in
the Figure (4.2) the subjective visual results (zoom parts) using the RGB
color space. We observe from the error stego-images that the proposed
method provides less distortion in comparison with the LSB method. In
the case of retrieved secret error images, the proposed methods provide
similar subjective visual results and in some cases (see the NCD of Table
4.2) the proposed method outperforms the comparative methods. We can
see that the images produced with the proposed CLCES methods appear
to have a very good subjective quality [8].
 
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