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Weighted Matrix-Based Random Data Hiding Scheme Within a Pair of Interpolated Image

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Proceedings of the Sixth International Conference on Mathematics and Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1262))

Abstract

Secure, high payload, reversible data hiding scheme with good visual quality is still an important research issue in data hiding and designing such a scheme is a technically challenging problem. Tseng et al. proposed a securely weighted matrix-based data hiding scheme for the binary image which can hide only two bits secret data within a \((3 \times 3)\) pixel block; meanwhile, Fan et al. suggested an improved weighted matrix-based data hiding scheme for grayscale image which can hide 4 bits secret data within a \((3 \times 3)\) pixel block. Both of these weighted matrix-based data hiding schemes performed only one modular sum of entry-wise multiplication operation between image block and weighted matrix. To improve the capacity along with visual quality, we have proposed an innovative, reversible, secure, high payload data embedding scheme in a random location of a pair of color image. The randomness has been achieved by using SHA-512 for selecting the image and PRNG is used to select the specific block of the desired image. The weighted matrix helps to embed the secret information by performing entry-wise multiplication with the image block. The embedding capacity has been increased by performing 16 repeated entry-wise multiplication operations and security has been enhanced by modification of the weighted matrix for each block. Finally, the experimental results are compared with existing state-of-the-art methods and observed that our scheme is superior in terms of capacity, quality, and security.

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Correspondence to Biswapati Jana .

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Bera, D., Jana, B., Chowdhuri, P., Giri, D. (2021). Weighted Matrix-Based Random Data Hiding Scheme Within a Pair of Interpolated Image. In: Giri, D., Buyya, R., Ponnusamy, S., De, D., Adamatzky, A., Abawajy, J.H. (eds) Proceedings of the Sixth International Conference on Mathematics and Computing. Advances in Intelligent Systems and Computing, vol 1262. Springer, Singapore. https://doi.org/10.1007/978-981-15-8061-1_8

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