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Table 5 Detection result comparison of different function models for Markov state selection (DWT)

From: Enhanced state selection Markov model for image splicing detection

Function model P 1 P 2 P 3 P 4 AC (%) TP (%) TN (%)
Average function y = 2 N + 1 , N = 7 0.25 0.25 0.25 0.25 78.4 79.2 77.6
1.0 2.3 2.2
Linear function y = a * |x|, a = − 0.160 0.34 0.28 0.22 0.16 77.9 79.4 76.4
1.0 2.5 2.3
Quadratic function y = a * x2 + c, a = − 0.013, c = 0.294 0.37 0.28 0.24 0.18 77.5 78.4 76.5
1.0 2.7 2.1
Gaussian function y = a * e x 2 / c 2 , a = 0.351 , c = 2.890 0.35 0.31 0.22 0.12 78.0 79.6 76.4
0.9 2.5 2.3
Exponential function y = a * eb|x|, a = 0.404, b = − 0.378 0.40 0.28 0.19 0.13 77.6 78.7 76.5
       0.9 2.5 1.9
  1. Level 1 D sub-band only, horizontal direction difference, N = 7.