Abstract
Currently, the most secure adaptive image steganographic methods for spatial domain are to design cost functions to minimize embedding distortion. Wavelet Obtained Weights (WOW) is one of these methods, which can adaptively embed secret message into cover image according to textural complexity. In this paper, an improved WOW adaptive image steganography method is proposed. We apply a binary stochastic matrix to preprocess the cover image to generate a new image firstly, which helps to reduce the probability of locating embedding change positions by stego image. Then, three directional filters are used to weigh the embedding cost of each pixel in the new image and the syndrome-trellis codes are applied to minimize the distortion. Experimental results demonstrate that the proposed method achieves a better performance on resisting the state-of-the-art steganalysis over prior works.
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Acknowledgment
This work is supported by National Natural Science Foundation of China (Grant No. 61402162), Hunan Provincial Natural Science Foundation of China (Grant No. 14JJ7024), Specialized Research Fund for the Doctoral Program of Higher Education (Grant No. 20130161120004), China Postdoctoral Science Foundation (Grant No. 2014M560123), Young Teacher Foundation of Hunan University (Grant No. 531107040701).
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Liao, X., Chen, G., Li, Q., Liu, J. (2015). Improved WOW Adaptive Image Steganography Method. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9530. Springer, Cham. https://doi.org/10.1007/978-3-319-27137-8_50
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DOI: https://doi.org/10.1007/978-3-319-27137-8_50
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