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Multispectral Bayer Color Image Encryption

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Mathematical Analysis II: Optimisation, Differential Equations and Graph Theory (ICRAPAM 2018)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 307))

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Abstract

A first approach for Bayer color image encryption and decryption is proposed. The original image is downsampled into three basic color components using multispectral property, then each color component is encrypted by elliptic curve cryptography followed by generalized Arnold transformation. In the first stage of encryption, on each color component separate keys of ECC are employed, and the next stage of encryption considers keys from independent parameters of the coefficient matrix of Arnold transform. The two steps of encoding apply disjoint keys for each color component in both stages, which gives a higher level of security and robustness. Simulation analysis and experimental results are performed on several test images to show the strength of the proposed technique, and a comparison is established with other proposed models.

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Correspondence to Binay Kumar Singh .

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Singh, B.K., Singh, J. (2020). Multispectral Bayer Color Image Encryption. In: Deo, N., Gupta, V., Acu, A., Agrawal, P. (eds) Mathematical Analysis II: Optimisation, Differential Equations and Graph Theory. ICRAPAM 2018. Springer Proceedings in Mathematics & Statistics, vol 307. Springer, Singapore. https://doi.org/10.1007/978-981-15-1157-8_20

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