1. 1 High-Capacity Data Hiding in Halftone Images Using Minimal-Error Bit Searching and Least-Mean Square Filter Author: Soo-Chang Pei and Jing-Ming Guo Source: IEEE Transactions on Image Processing, Vol. 15, No. 6, pp. 1665-1679, June 2006 Date : 2006.12.26. Reporter: 黃暢卿 蔡篤校

2. 2 Outline Introduction Data Hiding with Minimal-Error Bit Search (MEBS) Standard MEBS Modified MEBS Self-Decoding Mode Dot-Diffusion Self-Decoding Mode Color Halftone Image Self-Decoding Mode Robust Watermarking LMS Halftone Technique

3. 3 1 2 3 4 5 6 7 8

4. 4 Introduction halftone image 1

5. 5 Introduction halftoning methods Ordered Dithering 1 2

6. 6 Introduction halftoning methods Ordered Dithering 2 2

7. 7 Introduction halftoning methods Error Diffusion 1 3

8. 8 Introduction halftoning methods Error Diffusion 2 3

9. 9 Introduction halftoning methods Error Diffusion 3 3

10. 10 Introduction halftoning methods Error Diffusion 4 3

11. 11 Introduction halftoning methods Dot Diffusion 1 4

12. 12 Introduction halftoning methods Dot Diffusion 2 4

13. 13 secret sharing 5

14. 14 MEBS Standard Data Hiding with Minimal-Error Bit Search 5

15. 15 MEBS Standard Data Hiding with Minimal-Error Bit Search 5

16. 16 MEBS Standard Data Hiding with Minimal-Error Bit Search 5

17. 17 MEBS Standard Data Hiding with Minimal-Error Bit Search 5

18. 18 MEBS Modified Data Hiding with Minimal-Error Bit Search 5

19. 19 MEBS Modified Data Hiding with Minimal-Error Bit Search 5

20. 20 MEBS Modified Data Hiding with Minimal-Error Bit Search 5

21. 21 Self-Decoding Mode Dot-Diffusion Self-Decoding Mode 6

22. 22 Self-Decoding Mode Color Halftone Image Self-Decoding Mode 6

23. 23 Robust Watermarking 7

24. 24 LMS Halftone Technique (Least Mean Square filter) 8

25. 25 LMS Halftone Technique PSNR (Peak Signal-to-Noise Ratio) 8

26. 26 LMS Halftone Technique (Least Mean Square filter) 8

27. 27 LMS Halftone Technique (Least Mean Square filter) 8

28. 28 LMS Halftone Technique (Least Mean Square filter) 8

29. 29 LMS Halftone Technique (Least Mean Square filter) 8

30. 30 THANKS