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Adaptive Data Hiding in Edge Areas of Images With Spatial LSB Domain Systems

Adaptive Data Hiding in Edge Areas of Images With Spatial LSB Domain Systems. Adviser: Chih-Hung Lin Speaker ： Chia-Wei Chang Date:2009/10/06. Introduce of Author. Author: Cheng-Hsing Yang, Chi-Yao Weng, Shiuh-Jeng Wang and Hung-Min Sun .

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Adaptive Data Hiding in Edge Areas of Images With Spatial LSB Domain Systems

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  1. Adaptive Data Hiding in Edge Areas of ImagesWith Spatial LSB Domain Systems Adviser: Chih-Hung Lin Speaker：Chia-Wei Chang Date:2009/10/06

  2. Introduce of Author • Author:Cheng-Hsing Yang, Chi-Yao Weng, Shiuh-Jeng Wangand Hung-Min Sun. • IEEE Transactions on Information Forensics and Security, vol. 3, no. 3, september 2008. • C.-H. Yang is with the Department of Computer Science, National Pingtung University of Education, Pingtung, 900, Taiwan. • C.-Y. Weng and H. M. Sun are with the Department of Computer Science, National Tsing-Hua University, Hsinchu, 300, Taiwan, R.O.C. • S.-J. Wang, corresponding author, is with the Department of Information Management, Central Police University, Taoyuan, 333, Taiwan, R.O.C. • Manuscript received November 1, 2007; revised March 12, 2008. Published August 13, 2008 (projected).

  3. Outline • Introduction • Literature Review • Proposed Method • Embedding Procedure • Data Extraction • Experimental Results • Conclusions

  4. I.Introduction

  5. I.Introduction • Embedding = embedding

  6. I.Introduction • In 2003, Wu and Tsai proposed a “PVD”. • In2004, Chang and Tseng proposed a side-match method. • In 2005, Park et al. proposed a steganographic scheme based of neighboring pixels. • In 2005, Wu et al. proposed the pixel-value differencing (PVD) and LSB replacement method.

  7. I.Introduction • LSB techniques • PVD techniques • Side-Match techniques

  8. LSB method Fig.1:Wu et al.’s division of “lower level” and “higher level” (Div=15)􀀀

  9. II. Literature Review • Wu et al.’s PVD and LSB

  10. =|56-47|=9 (lower-level) =23>Div=15 =55-48=7 =63, =40 If level≠ level =55, =48 II. Literature Review • Example To embed 111000

  11. III.Proposed Method • 2-3 Division and 3-4-5 Division (a) (b) Fig. 2. Two dividing cases: (a) “lower level” and “higher level” and (b) “lower level,” “middle level,” and “higher level.”

  12. III.Proposed Method • 2-3 Division • 3-4-5 Division

  13. III-1.Embedding steps for l-m-h

  14. III-1.Embedding steps for l-m-h

  15. III-1.Embedding steps for l-m-h • Case6.1 =L-level ≠L-level • Case6.2 =M-level =L-level • Case6.3 =M-level =H-level • Csae6.4 =H-level ≠H-level

  16. =|64-47|=17 (middle-level) =42 =|74-48|=26 =10 =74, =58, =32 =48 =M-level =L-level =74, =48 III-1 Embedding Procedure Example To embed 4-bit LSB After the modified LSB substitution is applied

  17. III-2.Data Extraction

  18. =|74-48|=26 =74, =48 III-2.Data Extraction Example There are 4 bits embedded in and 4 bits embedded in ‘s secret bits ‘s secret bits

  19. IV.Experimental Results • Fig. 3:Two cover images. • Elaine. (b) Baboon.

  20. IV.Experimental Results

  21. IV.Experimental Results

  22. IV.Experimental Results

  23. IV.Experimental Results

  24. V.Conclusions • some l-h divisions and l-m-h divisions both yielded higher capacity and higher PSNR. • Embed secret data into gray images without making a perceptible distortion. • Can be analyzed automatically, aiming to capture an adequate - - division satisfying the key requirements in information hiding. • Experimental results show that our approach obtains both larger capacity and higher image quality than that of Wu et al.

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