Asymmetric double image encryption, compression and watermarking scheme based on orthogonal-triangular decomposition with column pivoting
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Date
2021-03
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Abstract
A novel asymmetric scheme for double image encryption, compression and watermarking based
on QR decomposition in the Fresnel domain has been presented. The QR decomposition provides
a permutation matrix as a ciphertext, and the product of orthogonal and triangular matrix as a key.
The ciphertext obtained through this process is a sparse matrix that is compressed by the CSR meth
od to give compressed encrypted data, which when combined with a host image, gives a watermarked
image. Thus, a cryptosystem that involves compression and watermarking is proposed. The proposed
scheme is validated for grayscale images. To check the efficacy of the proposed scheme, histo
grams, statistical parameters, and key sensitivity are analyzed. The scheme is also tested against
various attacks. Numerical simulations are performed to validate the security of the scheme.