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Table 8 Comparison of PSNRs and MSEs among various progressive sharing schemes (three levels)

From: Progressive sharing of multiple images with sensitivity-controlled decoding

Scheme

PSNR (MSE) of recovery on level 1

PSNR (MSE) of recovery on level 2

PSNR (MSE) of recovery on level 3

PSNR (MSE) of stego

Chen and Lin [3] (three experiments for ‘Lena’, with various parameter settings)

13.15 to 31.11

20.00 to 46.38

Lossless

34.62 to 36.43

(MSE = 50.4 to 3148.3)

(MSE = 1.50 to 650.2)

(MSE = 14.8 to 22.4)

Wang and Shyu [4]

*N/A

*N/A

Lossless

*N/A

Hung et al. [5] (Lena)

28.00

32.67

37.04

35.68 to 35.86

(MSE = 103.1)

(MSE = 35.1)

(MSE = 12.9)

(MSE = 16.9 to 17.6)

Chen and Lin [6] (lossy version)

28.37

34.12

39.79

32.97 to 38.96

(MSE = 94.7)

(MSE = 25.18)

(MSE = 6.8)

(MSE = 8.3 to 32.8)

Our method 1

24.50 to 28.23

30.26 to 34.85

Lossless

39.60 to 42.00

(MSE = 97.7 to 230.7)

(MSE = 21.3 to 61.2)

(MSE = 4.1 to 7.2)

Our method 2

24.50 to 28.23

30.26 to 34.85

Lossless

37.21 to 43.23

(MSE = 97.7 to 230.7)

(MSE = 21.3 to 61.2)

(MSE = 3.1 to 12.4)

Our method 3

26.92 to 30.53

29.19 to 35.72

Lossless

40.74 to 42.35

(MSE = 57.6 to 132.2)

(MSE = 17.4 to 78.4)

(MSE = 3.8 to 5.5)

  1. *Wang and Shyu [4] purposely let some area of the image be blank in their low-level recovery. Thus, PSNR is not available.