I am looking for “clear and nice” algorithm for blind image steganalysis. I would like to implement it for example in java.
Could anybody recommend me any materials (articles, websites, etc.) with good tips for this problem?
Perhaps Fridrich's earliest work on Steganalysis could be the starting point. You may wish to take a look at the following papers:
"Towards Multi-class Blind Steganalyzer for JPEG Images"
http://link.springer.com/chapter/10.1007%2F11551492_4#page-1
"Multi-class Blind Steganalysis for JPEG Images" available from:
http://www.ws.binghamton.edu/fridrich/Research/SPIE_07.pdf
Since then the papers are mainly on deriving more descriptive features and training using modern machine learning methods (e.g., ensemble classifiers). So the base "recipe" could be the papers I highlighted above.
To be fair, Hany Farid along with his student Lyu have had a prior work on such topic using higher order statistics and SVM.
Siwei Lyu. Steganalysis using color wavelet statistics and one-class support vector machines. Master’s thesis, Dartmouth College, Hanover, NH, USA, 2002.
Or in its lighter version:
Siwei Lyu and Hany Farid. Detecting hidden messages using higher-order statistics and support vector machines. In Proceedings of the Fifth Intl. Workshop on Information Hiding , pages 340–354, Noordwijkerhout, The Netherlands, 2002. S
pringer-Verlag.
Dear Abbas,
Thank you for your propositions. I downloaded 2 papers from the first message and the ”lighter version” from the second. I will study them to do my implementation.
Best wishes,
Radoslaw Jedynak
Dear Ahmadreza,
Thank you also for your information. The webpage with implementation seems very interesting. I have several papers with theoretical discussions but they are not friendly for people who want to write own implementation.
Best wishes,
Radoslaw Jedynak
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