Enhanced Optical Double Phase Image Encryption Using Random Gaussian Noise

The advent of digitalization makes image security inevitable as a result of that, an asymmetric cryptography algorithm which is based on the improvement of double random phase encoding is proposed. This algorithm makes use of Gaussian random noise to boost the security of the existing method and was implemented on the MATLAB 2020a software application. The results obtained from the simulations show a slight decrease in the peak-to-signal ratio of 0.3304 and an increase in the mean square error when comparing the existing method with the enhanced method. An image encrypted using Enhanced Double Random Phase Encoding (EDRPE) has strong protection against intruders due to the introduction of the random Gaussian noise as one of the components of the masks in the encryption process. However, a slight noisy effect is produced on the recovered image which is not obvious to the receiver. The simulation result validates the algorithm's potential against security attacks but does not eliminate the presence of noise.