DocumentCode :
2821733
Title :
Multiple-image compressed encryption and decryption by compressive holography
Author :
Di, Hong ; Zheng, Kangfeng ; Niu, Xinxin ; Zhang, Xin
Author_Institution :
Inf. Security Center, Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2011
fDate :
6-9 Nov. 2011
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a scheme of a multiple-image compressed encryption based on the compressive holography technique. Computer generate hologram (CGH) is implemented to record multiple images simultaneously into an encrypted hologram. Because its two-dimensional (2D) Fourier transform (FT) result is analogous a partial 3D Fourier transform sampling, the 2D FT result can be compressed by a nonuniform sampling accompanied with a quantization. The encryption and compression processes agrees with the requirement of the compressive sensing and composes the compressive holography. Therefore, the decryption is solved by a minimization. It remains the sparsity of the recovered natural images in the wavelet basis. Meanwhile, a total-variation regularization and a nonnegative constraint is employed to extract images with edge preserved and nonnegative gray scale, respectively. Experiments are conducted to demonstrate the feasibility of the multiple- image compressed encryption.
Keywords :
Fourier transforms; compressed sensing; computer-generated holography; cryptography; data compression; image coding; image colour analysis; image sampling; natural scenes; 2D Fourier transform; CGH; compression process; compressive holography technique; compressive sensing; computer generate hologram; edge preserved gray scale; encrypted hologram; encryption process; minimization; multiple-image compressed decryption; multiple-image compressed encryption; natural images; nonnegative constraint; nonnegative gray scale; nonuniform sampling; partial 3D Fourier transform sampling; quantization; total-variation regularization; two-dimensional Fourier transform; wavelet basis; Encryption; Holography; Image coding; Image reconstruction; Optimized production technology; PSNR; Quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2011 IEEE
Conference_Location :
Tainan
Print_ISBN :
978-1-4577-1321-7
Electronic_ISBN :
978-1-4577-1320-0
Type :
conf
DOI :
10.1109/VCIP.2011.6115951
Filename :
6115951
Link To Document :
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