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Sourse: IEEE Transactions on Circuits and Systems for Video Technology

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Presentation on theme: "Sourse: IEEE Transactions on Circuits and Systems for Video Technology"— Presentation transcript:

1 Reversible Data Hiding with Automatic Brightness Preserving Contrast Enhancement
Sourse: IEEE Transactions on Circuits and Systems for Video Technology Accepted: 2018 Sep 11 ( Early Access ) Authors: Suah Kim, Rolf Lussi, Xiaochao Qu, Fangjun Huang and Hyoung Joong Kim Speaker: Wang Xu Date: /01/31

2 Outline Introduction Related work Proposed method Experiment results
Conclusions

3 Introduction(1/2) Three approaches of automatic image enhancement (AIE) I II III Storage XML Enhanced Undo Original Enhanced

4 Introduction(2/2) Contrast enhancement Original Contrast enhanced

5 Related work – Multiple repetitions of histogram shifting
Histogram equalization by using multiple repetitions of histogram shifting

6 Proposed method – Bi-directional histogram shifting

7 Proposed method – Brightness preserving
, RHS , LHS , RHS or LHS

8 Proposed method – Ps and Pc selection
Ps selection Pc selection > <

9 Proposed method – Side information
S = L || P-1s || P-1c

10 Proposed method – Side information
For the last repetition S = L || P-1s || P-1c || 16 LSBs |S|max = H’Pc || 8 bits || 8 bits || 16 bits = H’Pc +32 bits

11 Proposed method – Stop condition

12 Example RHS

13 Example Ps L = P-1s = P-1c = Pc |S|max = H’Pc || 32 bits = 38 bits = 55 > 38 Secret bits = (0)17, (1)16 ……

14 Example = - = - < 0 LHS

15 Example Ps L = 11 P-1s = Pc P-1c = |S|max = H’Pc || 32 bits = 34 bits = 35 > 34 Secret bits = (0)8, (1)9 ……

16 Example Ps Pc LHS = - = - < 0 |S|max = H’Pc || 32 bits = 37 bits = 22 < 37 16 LSBs =

17 Experiment results (1/7)
[3] S. Kim, R. Lussi, X. Qu, and H. J. Kim, “Automatic contrast enhancement using reversible data hiding,” in IEEE International Workshop on Information Forensics and Security, Nov. 2015, pp. 1–5. (ACERDH) [12] Y.-T. Kim, “Contrast enhancement using brightness preserving bi-histogram equalization,” IEEE Transactions on Consumer Electronics, vol. 43, no. 1, pp. 1–8, (BBHE) [13] S.-D. Chen and A. R. Ramli, “Minimum mean brightness error bi-histogram equalization in contrast enhancement,” IEEE Transactions on Consumer Electronics, vol. 49, no. 4, pp. 1310–1319, (MMBEBHE) [14] C. Wang, J. Peng, and Z. Ye, “Flattest histogram specification with accurate brightness preservation,” IET Image Processing, vol. 2, no. 5, pp. 249–262, (FHSABP)

18 Experiment results (2/7)

19 Experiment results (3/7)

20 Experiment results (4/7)

21 Experiment results (5/7)

22 Experiment results (6/7)

23 Experiment results (7/7)

24 Conclusions Use reversible data hiding method to achieve automatic contrast enhancement Use adaptive bin selection process to incorporate the brightness preservation Require smaller storage Less susceptible to overenhancement

25 Thanks


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