A review of optical image encryption techniques

Shi, Lei; Guo, Changliang; Sheridan, John T.

doi:10.1016/j.optlastec.2013.05.023

Cited by 332 publications

(150 citation statements)

References 125 publications

(207 reference statements)

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“…With the approaches described in Refs. [7] and [11], two phase masks were inserted in the object wave path for DRPE; however, with our system, they are applied to the object and reference waves. The Fresnel-type DRPE uses three cipher keys: the phase distribution on the Fresnel domain, the distance of Fresnel diffraction, and the wavelength of laser; all of which that must be provided correctly to restore the plaintext image from the encrypted image.…”

Section: Encrypted Sensing Based On Drpementioning

confidence: 99%

See 1 more Smart Citation

Encrypted Sensing Based on Digital Holography for Fingerprint Images

Takeda¹,

Nakano²,

Suzuki³

et al. 2015

OPJ

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We propose a novel biometric sensing technique for personal authentication in which fingerprint images are captured using an optical encryption method. This method can reduce the risk of data theft or leakage of personal information captured by biometric sensing. This method, termed encrypted sensing, is implemented using digital holography with double random phase encoding. We demonstrate experimentally that a fingerprint image can be captured as an optically encrypted image and can be restored correctly only when the correct cipher key is used. Moreover, we investigate experimentally the verification accuracy of the decrypted images.

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Section: Encrypted Sensing Based On Drpementioning

confidence: 99%

“…peak mean , PSR σ − = (11) where σ denotes the standard deviation of ( ) , n x y and peak and mean denote the peak value and spatial average of ( ) , n x y , respectively.…”

Section: Verification Accuracymentioning

confidence: 99%

Encrypted Sensing Based on Digital Holography for Fingerprint Images

Takeda¹,

Nakano²,

Suzuki³

et al. 2015

OPJ

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“…It is known that a cellular automaton (CA) can be used to encrypt images efficiently [6][7][8][9][10][11], and using an image scrambling algorithm can make the entire encryption system safer and more reliable [12][13][14]. In computer science and mathematics, the Josephus problem is a theoretical problem related to a certain counting-out game [15].…”

Section: Introductionmentioning

confidence: 99%

Periodic characteristics of the Josephus ring and its application in image scrambling

Chai

Liang

et al. 2018

J Wireless Com Network

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This paper proposes a new image scrambling algorithm based on the periodic characteristics of the Josephus ring. The algorithm composes the pretreatment part of the entire image encryption system and scrambles the rows and columns of the plain image. The Josephus scrambling algorithm is adjustable by using three kinds of parameters: step, m 0 , and n. Different values affect the size of the periodic value of the Josephus ring. In this paper, we focus on the method of determining the period of the Josephus cycle when the parameters are set and the Josephus rule space under arbitrary parameters. Because the Josephus ring is a mathematical problem, we analyze it using the group theory of modern algebra. After the Josephus scrambling, the plain image is encrypted. Because a CA is suitable for image encryption, the encryption part adopts a CA encryption algorithm using a one-dimensional, four-neighbor CA, which has chaotic behavior at the rules of 9d62 (hex). Finally, the number of pixels change rate, the unified averaged changed intensity test, and correlation detection are carried out on the experimental results. The results show that the use of the Josephus scrambling algorithm greatly improves the security of the entire encryption system.

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“…Optical processing systems have been proposed for a number of security applications, including encryptiondecryption, authentication, and anti-counterfeiting of a number of primary images, from one in the most common case, up to four in the case of multifactor authentication [1][2][3][4][5][6]. They benefit from parallel processing, multiple degrees of freedom (such as amplitude, phase, wavelength, and polarization of light), high storage capacity and use of biometrics data such as, for instance, fingerprints, iris and retina.…”

Section: Introductionmentioning

confidence: 99%

“…Most of the optical security systems usually deal with a single primary image (for instance, an object, a plaintext, a signature, a biometric signal) as authenticator [2][3][4][5][6][7][10][11][12][13][14][18][19][20][21][22][23]. Some approaches permit to store multiple primary images, either in an optical memory [9] or in a single encrypted distribution [24][25][26][27], with the purpose of sequential and independent one-by-one decryption.…”

Section: Introductionmentioning

confidence: 99%

Photon-counting multifactor optical encryption and authentication

Pérez‐Cabré

Mohammed

Millán

et al. 2015

J. Opt.

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Abstract. The multifactor optical encryption authentication method [Opt. Lett., 31, 721-3 (2006)] reinforces optical security by allowing the simultaneous authentication of up to four factors. In this work, the photon-counting imaging technique is applied to the multifactor encrypted function so that a sparse phase-only distribution is generated for the encrypted data. The integration of both techniques permits an increased capacity for signal hiding with simultaneous data reduction for better fulfilling the general requirements of protection, storage and transmission. Cryptanalysis of the proposed method is carried out in terms of chosen-plaintext and chosen-ciphertext attacks. Although the multifactor authentication process is not substantially altered by those attacks, its integration with the photon-counting imaging technique prevents from possible partial disclosure of any encrypted factor, thus increasing the security level of the overall process. Numerical experiments and results are provided and discussed.

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A review of optical image encryption techniques

Cited by 332 publications

References 125 publications

Encrypted Sensing Based on Digital Holography for Fingerprint Images

Encrypted Sensing Based on Digital Holography for Fingerprint Images

Periodic characteristics of the Josephus ring and its application in image scrambling

Photon-counting multifactor optical encryption and authentication

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