Abstract
This paper proposes a data hiding scheme composed of a synchronization technique by using content of the image and a DCT payload embedding method. The position of the center of gravity of each Delaunay triangle is embedded inside the red channel of the corresponding triangle. This information called synchronization information is afterward decoded robustly by fast correlation attacks used commonly in cryptanalysis. The synchronization information is used to recover the affine transform that has been done on the image. The best merit of correlation attack is its powerful error-correcting ability which can be used not only to get rid of false position information caused by a few missed or imagined features, but also to obtain enough error-free synchronization information in spite of the feature points undergoing geometry transformations. A DCT-based algorithm is used to embed secret messages in the blue channel of the image. The paper also explicitly analyses the channel noise model so as to provide a basis on which some important parameters used in fast correlation attacks are designed. Simulation results show that our data-hiding scheme is highly robust to geometrical distortions including RST and most of affine transformations, and common signal processing such as JPEG compression.
This work was supported by the National Natural Science Foundation of China (60673082,90204013), and Special Funds of Authors of Excellent Doctoral Dissertation in China(200084).
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Lu, P., Wang, D. (2007). A Geometrical Robust Image Data Hiding Scheme Using FCA-Based Resynchronization. In: Furon, T., Cayre, F., Doërr, G., Bas, P. (eds) Information Hiding. IH 2007. Lecture Notes in Computer Science, vol 4567. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77370-2_18
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DOI: https://doi.org/10.1007/978-3-540-77370-2_18
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