Abstract
The current challenge of steganography is to minimize detection accuracy when payload is high. There are powerful stego-detectors by which the presence of a secret embedded in digital images can be found out with high accuracy. The need for this study is to develop a novel steganography scheme that is strong against attacks and large in payload capacity. In view of this, we propose an enhanced image steganography scheme with preprocessed digital cover image through successive mean quantization transform (SMQT) enhancement. It has a preprocessing stage called SMQT before embedding. During the embedding stage, we propose an advanced spatial domain technique, namely selected pixels bit replacement (SPBR). This method helps to choose pixels that are insignificant to the original view of the cover image and embed digital secret inside without eliciting any suspicion. The goal of this proposed scheme is to minimize the detection rate with large payload. An ensemble steganalyzer is used to estimate the embedding capacity of each cover image, and a comparison is done between classical PQ steganography and the proposed SPBR steganography. The imperceptibility of the stego-image is verified with peak signal-to-noise ratio. We present several experiments that show the effectiveness of the proposed steganography scheme in improving the security of stego-images.
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Jithesh, K., Anto, P.B., Reshma, P.K., Aravindhan, M. (2015). Selected Bit Replacement Steganography Over SMQT Preprocessed Digital Image. In: Das, K., Deep, K., Pant, M., Bansal, J., Nagar, A. (eds) Proceedings of Fourth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 336. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2220-0_43
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DOI: https://doi.org/10.1007/978-81-322-2220-0_43
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