Abstract
Well-known optical image encryption technique double random phase encoding scheme has been shown vulnerable to basic attacks. Thereafter triple random phase encoding scheme is proposed to endure basic attacks. Recently, triple random phase encoding scheme is also shown vulnerable by using deep learning based attack. In this paper, an image encryption scheme based on triple random phase encoding with chaotic Henon map in Fourier domain is proposed. Henon map is used to strengthen the image encryption scheme. Henon map has two parameters and two initial conditions which are highly sensitive to its original value. Experiments were carried out on grayscale images to validate the proposed scheme. Statistical attacks such as information entropy, histogram and 3-D plot analysis are successfully endured by the scheme. Performances against noise and occlusion attacks show the robustness of the scheme. The key sensitivity results indicate that the proposed scheme is highly secure.
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