Modified computational integral imaging-based double image encryption using fractional Fourier transform |
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| Affiliation: | 1. College of Communication and Art Design, University of Shanghai for Science and Technology, Shanghai 200093, China;2. Shandong Special Education Vocation College, Shandong 250022, China;3. Shanghai Institute of Optics and Fine Mechanics, CAS, Shanghai 201800, China;1. Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China;2. Information Security Center, Beijing University of Posts and Telecommunications, Beijing 100876, China;3. Shanghai Key Laboratory of Integrate Administration Technologies for Information Security, Shanghai Jiao Tong University, Shanghai 200240, China;1. Department of Electronic Engineering, Beijing Institute of Technology, Beijing 100081, China;2. Beijing Key Laboratory of Fractional Signals and Systems, China;1. Department of Electronic Information Engineering, Nanchang University, China;2. School of Mechatronic Engineering, Nanchang University, China;1. Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China;2. Jiangxi Province Key Laboratory of Image Processing and Pattern Recognition, Nanchang Hangkong University, Nanchang 330063, China;3. Information Security Center, Beijing University of Posts and Telecommunications, Beijing 100876, China;4. School of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang 330045, China |
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| Abstract: | In this paper, we propose an image encryption technique to simultaneously encrypt double or multiple images into one encrypted image using computational integral imaging (CII) and fractional Fourier transform (FrFT). In the encryption, each of the input plane images are located at different positions along a pickup plane, and simultaneously recorded in the form of an elemental image array (EIA) through a lenslet array. The recorded EIA to be encrypted is multiplied by FrFT with two different fractional orders. In order to mitigate the drawbacks of occlusion noise in computational integral imaging reconstruction (CIIR), the plane images can be reconstructed using a modified CIIR technique. To further improve the solution of the reconstructed plane images, a block matching algorithm is also introduced. Numerical simulation results verify the feasibility and effectiveness of the proposed method. |
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| Keywords: | Double image encryption Computational integral imaging Modified CIIR |
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