Gyrator transform based double random phase encoding with sparse representation for information authentication

Chen, Junxin; Zhu, Zhiliang; Fu, Chong; Yu, Hai; Zhang, Libo

doi:10.1016/j.optlastec.2015.01.016

Cited by 39 publications

(13 citation statements)

References 34 publications

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“…At the same time, CS can compress the signal in the process of acquisition, so as to reduce the data volume and achieve the purpose of reducing data storage and power consumption [12], [14]. At present, CS has been widely used for signal acquisition and processing [15]- [18]. When applied in WBSN, CS can significantly improve the monitoring efficiency of the bio-sensors and furthermore extend the monitoring durations [8], [19].…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Compressed Sensing for Heart Sound Acquisition in Wireless Body Sensor Networks

et al. 2020

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With the application of wireless body sensing network to real-time monitoring of biological signals, compressed sensing (CS) has become a promising signal acquisition technology that can extend monitoring time, reduce equipment cost and decrease power consumption. This paper makes a comparative study on the acquisition of heart sound (HS) signals by CS, compares and analyzes the performance of wavelet basis, reconstruction algorithms and frames. Among a large number of experimental data records, the reconstruction performance under different compression rates is comparatively studied, and the suitable wavelet basis, reconstruction algorithm and signal frame size for HS acquisition are obtained. The presented performance records and comparative analyses can give benchmarks for future academic research, and are also believed to be beneficial for practical applications. INDEX TERMS Compressed sensing, heart sound, wavelet basis, reconstruction algorithm.

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Section: Introductionmentioning

confidence: 99%

Comparative Study of Compressed Sensing for Heart Sound Acquisition in Wireless Body Sensor Networks

et al. 2020

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“…For instance, the extracted phase mask can be compressed [31], and only some sparse pixels in the extracted phase mask are available to the receivers. Hence, nonlinear correlation algorithm [31][32][33][34][35][36][37][38][39][40][41][42][43][44][45] can be further applied to verify the decoded images without information disclosure by connecting to a remote database. It is demonstrated [31,38] that it is possible to generate a new layer to enhance CGH-based system security.…”

Section: Introductionmentioning

confidence: 99%

Computer-generated hologram using binary phase with an aperture

Chen

2017

Appl. Opt.

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Computer-generated holograms (CGHs) have attracted more and more attention in some application fields, such as 3D displays, optical security, and beam shaping. In this paper, a strategy is presented for optical information verification based on CGH using binary phase (1 bit) with an aperture. The input is encoded into the cascaded phase-only masks based on CGH via iterative phase retrieval, and one extracted phase mask is binarized in which one part is selected according to an aperture and further embedded into a random binary-phase host mask. It is numerically illustrated that the reconstructed image can be effectively verified when system parameters, such as aperture and phase-only masks, are correctly applied. It is demonstrated that the proposed method can provide a promising strategy for CGH-based optical verification.

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“…1 Many others could be regarded as its variations, which are based on Fourier transform (FT) and its different generalizations, such as fractional Fourier transform (FrFT), 2-7 discrete fractional random transform (DFrRT), [8][9][10][11][12] gyrator transform (GT), [13][14][15][16][17] Fresnel transform, [18][19][20][21][22][23] and fractional Mellin transform. Various image cryptosystems have been designed and verified for security in the past two decades.…”

Section: Introductionmentioning

confidence: 99%

Halving the dimension of a single image to be encrypted optically to avoid data expansion

Tan

2016

Opt. Eng

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When directly applying optical transforms, such as fractional Fourier transform (FrFT), to a single image or real image (input image), the resulting image will become complex-valued, which leads to the doubling of data volume. This data expansion problem can be found in many existing single-image optical encryption schemes. We propose a folding technique to offset the data expansion by constructing a complex input image of half size. And we devise an optical single-image encryption scheme based on double FrFTs, in which this technique together with compressed sensing can bring about the possible maximum compression of encrypted images. Moreover, the chaos-based random circular shift for scrambling is introduced to enhance security. The chaotic random signum matrix is also tried as the measurement matrix, and it displays a good performance. Simulation results demonstrate the validity and security of the proposed scheme. Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 09/11/2016 Terms of Use: http://spiedigitallibrary.org/ss/termsofuse.aspx Optical Engineering 064111-4 June 2016 • Vol. 55(6) Yi and Tan: Halving the dimension of a single image to be encrypted optically to avoid data expansion Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 09/11/2016 Terms of Use: http://spiedigitallibrary.org/ss/termsofuse.aspx Optical Engineering 064111-8 June 2016 • Vol. 55(6) Yi and Tan: Halving the dimension of a single image to be encrypted optically to avoid data expansion Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 09/11/2016 Terms of Use: http://spiedigitallibrary.org/ss/termsofuse.aspx

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Gyrator transform based double random phase encoding with sparse representation for information authentication

Cited by 39 publications

References 34 publications

Comparative Study of Compressed Sensing for Heart Sound Acquisition in Wireless Body Sensor Networks

Comparative Study of Compressed Sensing for Heart Sound Acquisition in Wireless Body Sensor Networks

Computer-generated hologram using binary phase with an aperture

Halving the dimension of a single image to be encrypted optically to avoid data expansion

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