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Table 4 Detection result comparison of different function models for Markov state selection (BDCT)

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 86.1 86.3 85.8
0.93 1.6 1.8
Linear function y = a * |x|, a = − 0.1 0.4 0.3 0.2 0.1 86.6 87.0 86.3
1.0 1.9 1.7
Quadratic function y = a * x2 + c, a = − 0.027, c = 0.346 0.34 0.32 0.22 0.12 85.3 85.9 84.7
1.0 1.9 2.0
Gaussian function y = a * e x 2 / c 2 , a = 0.027 , c = 2.620 0.37 0.32 0.16 0.14 86.3 86.4 86.2
1.0 1.7 1.6
Exponential function y = a * eb|x|, a = 0.460, b = − 0.051 0.46 0.27 0.16 0.11 87.5 87.6 87.5
       1.0 1.8 1.9
  1. Horizontal direction difference, N = 7.