Abstract
The paper proposes an iterative approach based reversible data hiding with weight update used for dual stego images. Proposed method initially estimates the error between the adjacent pixels from which the embedding strength \(\propto \) is estimated. Proposed method then estimates a weight using the error and the data to be hidden. This weight is updated iteratively by using the subsequent data. Further, to improve the security, the random binary sequence is mixed with the weight. To acquire the two stego images, the weight is entrenched on the original image pixels. In the extraction phase, the data is extracted in a reverse order of embedding, where the inverse weight updation is performed, from which the data is extracted. By averaging the two stego images, the original image can be restored. According to the results of the experimental study, the proposed scheme for embedding data on dual stego images outperforms recent data hiding algorithms in terms of embedding rate and visual efficiency.
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Shaji, C., Sam, I.S. (2021). An Iterative Approach Based Reversible Data Hiding with Weight Update for Dual Stego Images. In: Singh, M., Tyagi, V., Gupta, P.K., Flusser, J., Ören, T., Sonawane, V.R. (eds) Advances in Computing and Data Sciences. ICACDS 2021. Communications in Computer and Information Science, vol 1441. Springer, Cham. https://doi.org/10.1007/978-3-030-88244-0_25
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