Integral Imaging Based 3-D Image Encryption Algorithm Combined with Cellular Automata

 

X. W. Li¹, D. H. Kim¹, S. J. Cho², S. T. Kim*¹

 

¹ Department of information and communications, Engineering Pukyong National University Daeyeon 3-Dong, Pusan 599-1, Korea. *setakim@pknu.ac.kr.

² Department of Applied Mathematics Pukyong National University Daeyeon 3-Dong, Pusan 599-1, Korea.

 

ABSTRACT

A novel optical encryption method is proposed in this paper to achieve 3-D image encryption. This proposed encryption algorithm combines the use of computational integral imaging (CII) and linear-complemented maximum-length cellular automata (LC-MLCA) to encrypt a 3D image. In the encryption process, the 2-D elemental image array (EIA) recorded by light rays of the 3-D image are mapped inversely through the lenslet array according the ray tracing theory. Next, the 2-D EIA is encrypted by LC-MLCA algorithm. When decrypting the encrypted image, the 2-D EIA is recovered by the LC-MLCA. Using the computational integral imaging reconstruction (CIIR) technique and a 3-D object is subsequently reconstructed on the output plane from the 2-D recovered EIA. Because the 2-D EIA is composed of a number of elemental images having their own perspectives of a 3-D image, even if the encrypted image is seriously harmed, the 3-D image can be successfully reconstructed only with partial data. To verify the usefulness of the proposed algorithm, we perform computational experiments and present the experimental results for various attacks. The experiments demonstrate that the proposed encryption method is valid and exhibits strong robustness and security.

Keywords: 3-D image encryption, computational integral imaging, 2-D elemental image array, linear-complemented maximum-length cellular automata.

 

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