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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.