Extracting hidden image using histogram, DFT and SVM

Authors:
T. H. Manjula Devi;Pooja P. Shenoy;Swathi Saigali;Harsha Mathew;K. B. Raja;K. R. Venugopal;L. M. Patnaik
Affiliations:
Dayananda Sagar College of Engineering, Bangalore;University Visvesvaraya College of Engineering, Bangalore University, Bangalore;University Visvesvaraya College of Engineering, Bangalore University, Bangalore;University Visvesvaraya College of Engineering, Bangalore University, Bangalore;University Visvesvaraya College of Engineering, Bangalore University, Bangalore;University Visvesvaraya College of Engineering, Bangalore University, Bangalore;Defence Institute of Advanced Technology, Puna
Venue:
Proceedings of the 2nd Bangalore Annual Compute Conference
Year:
2009

Citing 3
Cited 0

Steganalysis of JPEG Images: Breaking the F5 Algorithm

IH '02 Revised Papers from the 5th International Workshop on Information Hiding
Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines

IH '02 Revised Papers from the 5th International Workshop on Information Hiding
Steganalysis using image quality metrics

IEEE Transactions on Image Processing

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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.