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Optical single-channel cryptosystem based on biometric random phase mask fusion and modulation, and LU decomposition in gyrator transform domains
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DOI：10.1080/09500340.2026.2649631.png)
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Abstract
En 中文
A new approach to optical single-channel encryption that utilizes biometric random phase mask fusion and modulation, as well as LU decomposition in gyrator transform domains, is proposed. In this method, the colour palmprint is decomposed into R, G and B channels. Each channel is encoded and modulated individually by a random phase mask to produce a biometric random phase mask (BRPM). An original colour image is split into R, G and B channels. R-channel BRPM, R, G and B channels of the original image are fused and then inverse discrete wavelet transformed to produce a single covered image, which is used as an input image. The covered image is modulated with G-channel BRPM, and then gyrator transformed. The gyrator spectrum is decomposed by LU decomposition. L and U are utilized as the preliminary encrypted image and the first decryption key, respectively. L is phase- and amplitude-truncated to produce the second encrypted image and the second decryption key. The encrypted image is modulated with B-channel BRPM, and then gyrator transformed. The gyrator spectrum is decomposed by LU decomposition. L and U are exploited as the third encrypted image and the third decryption key, respectively. L is phase- and amplitude-truncated to generate the final encrypted image and the fourth decryption key. For the first time to the author's knowledge, a colour image is hidden in the R-channel BRPM. The proposed cryptosystem has three primary advantages. First, the R-channel BRPM with a unique palmprint image conceals the R, G and B channels of a colour image. Second, G-channel BRPM and B-channel BRPM are exploited as unique encryption keys. Finally, the four different decryption keys increase security layers against various types of attacks. A hybrid optoelectronic system can be utilized to implement the proposed method. Numerical simulation results show the feasibility, effectiveness and security of the proposed system.
Keywords:
Biometric random phase mask
discrete wavelet transform
LU decomposition
optical gyrator transform
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