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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.