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Extracting hidden image using histogram, DFT and SVM
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Annual Bangalore Compute Conference archive
Proceedings of the 2nd Bangalore Annual Compute Conference on 2nd Bangalore Annual Compute Conference table of contents
Bangalore, India
POSTER SESSION: List of accepted posters table of contents
Article No.: 26  
Year of Publication: 2009
ISBN:978-1-60558-476-8
Authors
T. H. Manjula Devi  Dayananda Sagar College of Engineering, Bangalore
Pooja P. Shenoy  University Visvesvaraya College of Engineering, Bangalore University, Bangalore
Swathi Saigali  University Visvesvaraya College of Engineering, Bangalore University, Bangalore
Harsha Mathew  University Visvesvaraya College of Engineering, Bangalore University, Bangalore
K. B. Raja  University Visvesvaraya College of Engineering, Bangalore University, Bangalore
K. R. Venugopal  University Visvesvaraya College of Engineering, Bangalore University, Bangalore
L. M. Patnaik  Defence Institute of Advanced Technology, Puna
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGSOFT: ACM Special Interest Group on Software Engineering
Publisher
ACM  New York, NY, USA
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ABSTRACT

In covert communication, Information hiding is rapidly gaining momentum. There are many sophisticated techniques being developed in steganography. There is a need of universal method to detect hidden image. We have proposed a Universal method to detect hidden message using Histogram, Discrete Fourier Transform and SVM (UDHDS). When compared to cover image stego image has irregular statistical characteristics. one class SVM is trained by these statistical features which are generated Using Histogram and DFT to discriminate the cover and stego image. The number of statistical features is less in UDHDS Algorithm when compared to the existing algorithm and found to be more efficient.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
E. Petitcolas, R. Anderson and M. Kuhn, "Information Hiding -- a Survey," Proceedings of the IEEEs, vol. 87, no. 7, pp. 1062--1078, 1999.
 
2
J. Fridrich and M. Goljan, "Practical Steganalysis: State of the Art," in SPIE Electronic Imaging, vol. 4675, pp. 1--13, 2002.
 
3
J. Fridrich, M. Goljan, D. Hogea, and D. Soukal, "Quantitative Steganalysis of Digital Images: Estimating the Secret Message Length," ACM Multimedia Systems Journal, Special Issue on Multimedia Security, vol. 9, no. 3, pp. 288--302, 2003.
 
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6
I. Avcibas, N. Memon, and B. Sankur, "Steganalysis using Image Quality Metrics," IEEE Transactions on Image Processing, vol. 12, no. 2, pp. 221--229, 2002.
 
7
J. J. Harmsen and W. A. Pearlman, "Steganalysis of Additive Noise Modelable Information Hiding," Proceeding SPIE Symposium on Electronic Imaging, Security, Steganography, and Watermarking of Multimedia Contents, vol. 5020, pp. 131--142, 2003.
 
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9
S. Lyu and H. Farid, "Steganalysis using Color Wavelet Statistics and One-Class Support Vector Machines," in SPIE Symposium on Electronic Imaging, vol. 5306, pp. 35--46, 2004.

Collaborative Colleagues:
T. H. Manjula Devi: colleagues
Pooja P. Shenoy: colleagues
Swathi Saigali: colleagues
Harsha Mathew: colleagues
K. B. Raja: colleagues
K. R. Venugopal: colleagues
L. M. Patnaik: colleagues