3D Integral Imaging Encryption Using a Depth-Converted Elemental Image Array

2013 ◽  
Vol 479-480 ◽  
pp. 958-962
Author(s):  
Xiao Wei Li ◽  
Seok Ki Lee ◽  
Sung Jin Cho ◽  
Seok Tae Kim
Keyword(s):  
Image Encryption ◽  
Three Dimensional ◽  
3D Image ◽  
Long Distance ◽  
3D Images ◽  
Integral Imaging ◽  
Computational Integral Imaging ◽  
Smart Pixel ◽  
Elemental Image ◽  
Encryption Method

We propose a three-dimensional (3D) image encryption method based on the modified computational integral imaging (CII) technique with the smart pixel mapping (SPM) algorithm, which is introduced for reconstructing orthoscopic 3D images with improved image quality. The depth-converted two-dimensional (2D) elemental image array (EIA) is firstly obtained by SPM-based CII system, and then the 2D EIA is encrypted by Fibonacci transform for 3D image encryption. Compared with conventional encryption methods based on integral imaging (II), the proposed method enables us to reconstruct orthoscopic 3D images at long distance. In addition, the qualities of the reconstructed plane images are enhanced by applying the SPM and pixel average algorithm (PAA) in CII. To show the usefulness of the proposed method, we carry out the preliminary experiments and present the experimental results.

Color 3D Image Encryption Technique by Combined Use of Computational Integral Imaging Joint Image Scrambling Technique

2013 ◽  
Vol 479-480 ◽  
pp. 948-952
Author(s):  
Xiao Wei Li ◽  
Sung Jin Cho ◽  
Seok Tae Kim
Keyword(s):  
Image Encryption ◽  
Color Image ◽  
Three Dimensional ◽  
3D Image ◽  
Arnold Transform ◽  
Color Image Encryption ◽  
Reconstruction Process ◽  
Integral Imaging ◽  
Computational Integral Imaging ◽  
Elemental Image

In this paper, we propose a novel three-dimensional (3D) color image encryption scheme based on computational integral imaging (CII) and Arnold transform technique. An elemental image array (EIA) is firstly captured by recording the light rays emanating from 3D image through a lenslet array. Then, the captured color EIA is decomposed into three independent channels: red, green and blue, and each channel is encrypted by Arnold transform. In the reconstruction process, the pseudo-inverse filter is used to improve quality of the reconstructed 3D color image in CII system. Numerical simulations have been done to prove the validity and the security of the proposed 3D color image encryption method.

Novel 3-D Image Encryption Using Computational Integral Imaging and Linear-Complemented MLCA

2013 ◽  
Vol 284-287 ◽  
pp. 2992-2997 ◽  
Author(s):  
Xiao Wei Li ◽  
Dong Hwan Kim ◽  
Sung Jin Cho ◽  
Seok Tae Kim
Keyword(s):  
Image Encryption ◽  
Three Dimensional ◽  
Experimental Results ◽  
Secret Key ◽  
Integral Imaging ◽  
Key Space ◽  
Lenslet Array ◽  
Encryption Schemes ◽  
Computational Integral Imaging ◽  
Encryption Method

Three dimensional (3-D) images encryption schemes can provide feasible and secure for images encryption due to the 3-D properties of images. In this paper, we present a novel 3-D images encryption algorithm by combining use of integral imaging (II) and maximum-length cellular automata (MLCA) as the secret key ciphering for 3D image encryption technique. In this proposed algorithm, a lenslet array first decomposes the 3-D object into 2-D elemental images (EIs) via the pick-up process of II. We encrypt the 2-D EIs with an encryption method based on linear and complemented MLCA. Decryption process is the opposite of operation encryption process: The 2-D EIs is recovered by the MLCA key, 3-D object is reconstructed by the recovered EIs via computational integral imaging (CII) reconstruction. To verify the usefulness of the proposed algorithm, we carry out the computational experiments and present the experimental results for various attacks. Experimental results show that the proposed algorithm can improve the performance of encryption against various attacks due to large key space in MLCA and 3-D characteristic of data redundancy.

3D Image Encryption Using Integral Imaging Scheme and MLCA Technology

2013 ◽  
Vol 284-287 ◽  
pp. 2955-2960 ◽  
Author(s):  
Dong Hwan Kim ◽  
Yong Ri Piao ◽  
Sung Jin Cho ◽  
Seok Tae Kim
Keyword(s):  
Image Encryption ◽  
Image Data ◽  
Previous Method ◽  
3D Image ◽  
Integral Imaging ◽  
Safety Test ◽  
Xor Operation ◽  
Elemental Image ◽  
Encryption Method ◽  
Exclusive Or

A new 3D image encryption method using integral imaging technology and maximum length cellular automata (MLCA) is proposed in this paper. First, an elemental image (EI) is generated by the integral imaging pickup process. The Wolfram rule is then selected and the state transition matrix, T, is created by MLCA. A random number matrix (RNM) is generated according to the MLCA rule. The generated EI and RNM are compared and pixel values are transitioned. Finally, a basis image is generated by another MLCA rule. The basis image is applied by performing a logic bit exclusive-OR (XOR) operation on the final encrypted image. This method changes the basic image information. Using pixel values to visualize image data gives better encryption results than the previous method. The robustness of the encryption method for lost data, including added noise or cropping attacks, was analyzed and the results of encryption method safety test experiments are presented using histograms.

Three-Dimensional Object Encoding Approach Using Computer-Generated Integral Imaging and Random Phase Encoding

2015 ◽  
Vol 764-765 ◽  
pp. 970-974
Author(s):  
Xiao Wei Li ◽  
Arum Sulgi Cho ◽  
In Kwon Lee ◽  
Sung Jin Cho ◽  
Seok Tae Kim
Keyword(s):  
Image Encryption ◽  
Random Phase ◽  
Three Dimensional ◽  
Phase Mask ◽  
3D Image ◽  
Phase Encoding ◽  
Integral Imaging ◽  
Random Phase Encoding ◽  
Dimensional Object ◽  
Encryption Method

In this paper, we propose a three-dimensional (3D) image encryption method using the computer-generated integral imaging and random phase mask encoding. The advantages of this proposed method can not only increase the resolution of the reconstructed plane images, but also greatly improve the robustness compared with conventional methods. We present the experimental results to verify the performance of our proposed encryption method.

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