Summary
This chapter presents three reversible data hiding schemes based on coefficient adjustment algorithm. The proposed coefficient adjustment (CA) algorithm mainly consists of three steps, which are block-mean removal, pixel squeezing, and pixel isolation. To provide a large hiding space, the mean removal firstly generates the differenced blocks from an input image. A pixel in the differenced blocks can be obtained by subtracting the original pixel value of the block from either the target codeword that was stored in a predetermined codebook or a prediction mean. Then, the pixel squeezing approach further provides hiding storage, while the pixel isolation approach minimizes distortion. Simulation demonstrated that the proposed method provided a larger payload than existing techniques at various embedding rates, and its corresponding PSNR was competitive. Moreover, a robust version of the proposed method can be achieved by employing the CA algorithm in the integer wavelet transform (IWT) domain. Experiments also confirmed that the resulting (marked) images were robust against manipulations of the image such as JPEG2000, JPEG, brightness adjustment, cropping, and inversion.
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Yang, CY., Hu, WC. (2013). Reversible Data Hiding by Coefficient Adjustment Algorithm. In: Pan, JS., Huang, HC., Jain, L., Zhao, Y. (eds) Recent Advances in Information Hiding and Applications. Intelligent Systems Reference Library, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28580-6_3
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DOI: https://doi.org/10.1007/978-3-642-28580-6_3
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