A Robust Authentication Algorithm for Medical Images Based on Fractal Brownian Model and Visual Cryptography

Table 3

Performance comparison of different algorithms under various attacks [2].

Attacks	Hu and Zhu’s scheme [3]	Gao’s scheme [15]	Xiang et al.’s scheme [16]	Tiankai’s scheme [17]	Proposed scheme
Gaussian noise	0.9300	0.8594	0.9600	0.9854	0.9805
Median filtering 1	0.9900	0.9453	0.9800	0.9912	0.9980
Median filtering 2	0.9700	0.9063	0.9800	0.9775	0.9766
JPEG (70)	0.9700	1.0000	1.0000	0.9951	0.9951
JPEG (50)	0.9600	—	0.9900	0.9912	0.9961
JPEG (20)	0.9400	0.9570	0.9700	0.9824	0.9795
Cropping (10%)	0.9900	—	—	0.9756	0.9990
Cropping (20%)	0.9700	—	—	0.9463	0.9971
Rotating 1°	0.9300	0.8164	—	0.9102	0.9609
Rotating 2.5°	0.9700	—	—	0.9307	0.9844
Rotating 5°	0.9600	—	1.0000	0.9424	0.9912
Rotating 10°	0.9500	—	0.9500	0.9580	0.9854
Visibility	No	No	No	Yes	Yes