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e) Median filter attack .
Median filter attack.
Fig. 10 Probability of correct watermark detection for various window sizes under median filter attack f) Resampling attack .
Due to the limited space to tabulate all attacks, we only explain median filter attack here but the scheme can be applied for other attacks.
For the median filter attack, the watermarked speech signals were passed through a median filter with window sizes ranging from 1 to 100. Figure 10 shows the correct watermark detection probability for all window sizes.
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For example, the image can be under JPEG2000 compression attack first and then median filtering attack later.
Results for JPEG compression, rotation attacks, scaling attacks, median filter, and Y and X shearing percentages of the proposed approach in comparison with Li [27], Patra [7], and Duman [11].
To evaluate the fragility property of the proposed semi-fragile digital speech watermarking technique, some attacks were designed, including AWGN, low-pass filter (LPF), band-pass filter (BPF), high-pass filter (HPF), median filter, and resampling attacks.
The robustness test of the scheme in [23] is done under few attacks (only JPEG compression, rotation, Gaussian noise, cropping, and median filter) and the other attacks examined in our discussion are not considered.
The robustness is tested on various attack, some being a median filter, geometrical transformations (translation, rotation and cropping simultaneously applied), a high-pass filter, local notch filter, and Gaussian noise.
And also we achieve satisfactory performance for Median filtering and rotation attacks.
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