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Table 8 The performance evaluation under the conventional attacks

From: Adaptive reversible image watermarking algorithm based on IWT and level set

Original image attack types Lena Baboon Girl Peppers
PSNR NC2 PSNR NC2 PSNR NC2 PSNR NC2
No attack 48.68 1 46.45 1 48.24 1 49.34 1
Gaussian filter (3 × 3,\( \boldsymbol{\upsigma} \) =0.5) 45.57 0.947 44.14 0.933 45.69 0.945 45.50 0.941
Gaussian filter (3 × 3,\( \boldsymbol{\upsigma} \) = 0.3) 47.24 0.982 46.08 0.974 47.97 0.981 47.77 0.983
Median filtering (3 × 3) 45.34 0.963 44.27 0.954 45.67 0.959 45.91 0.965
Gaussian noise (0.03) 47.11 0.971 45.95 0.966 46.78 0.972 47.23 0.974
Salt and pepper noise (0.03) 46.28 0.953 44.08 0.95 45.60 0.95 46.15 0.95
JPEG (Q = 30) 44.53 0.941 43.21 0.929 44.82 0.934 45.21 0.936
JPEG (Q = 50) 45.98 0.984 44.70 0.976 45.79 0.981 46.54 0.978