1. A High Embedding Capacity Approach to Adaptive Steganography
Digital Information Management, st International Conference on 6-6 Dec Page(s): Digital Object Identifier /ICDIM
N Santosh Arjun, Student Member, IEEE Dept of Electronics& Communication Engg Osmania University College of Engineering Hyderabad, India-5007
Atul Negi, Senior Member, IEEE Dept of Computer & Information Sciences University of Hyderabad Hyderabad, India
Reporter:趙旻玥

2. OUTLINE
1 Introduction
2 A novel approach to Adaptive Steganography using filtering
3 Adaptive embedding based on pixel magnitude in filtered image and local features of an cover image
4 Experimentation and discussions
5 Conclusions

3. 1 Introduction Adaptive Steganography:
natural variations in the pixel intensities
New Method:
uses both global and local image features
allows for a high embedding capacity and enhanced security
S=f(C,S,K)

4. 2 A novel approach to Adaptive Steganography using filtering
2.2 Example application of algorithm
2.1 Algorithm
Step1:
Step2:
Step3:
Step4:
Step5:
Step6:

5. 3 Adaptive embedding based on pixel magnitude in filtered image and local features of an cover image

6. 4 Experimentation and discussions
5.2 Comparison of Embedding Rate
5.1 Effect of cut-off frequency
on information hiding capacity
5.3 Resistance to steganalysis methods

7. 5 Conclusions
Control the embedding rate using a filtering cutoff frequency.
Use both global and local features of an image.
Overall higher embedding capacity and resistance to steganalysis.