An asymmetric single-channel color image encryption based on Hartley transform and gyrator transform

Abuturab, Muhammad Rafiq

doi:10.1016/j.optlaseng.2015.01.001

Cited by 57 publications

(14 citation statements)

References 33 publications

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“…2, the complex function U obtained in step (6) is fed into the SLM1 and illuminated by a monochromatic light, then recorded by CCD1. The phase-truncated part Am1 of the Fresnel spectrum may be generated by CCD1 [11]. The corresponding amplitude-truncated part Ph1 may be generated by interferometry with the reference beam RB1, which is split from the light source [19].…”

Section: The Proposed Asymmetric Multiple-image Encryption and Decmentioning

confidence: 99%

“…Most of the optical encryption methods can be viewed as symmetric cryptosystems, in which the keys for encryption and decryption are identical [8]. However, earlier studies indicated that these cryptosystems are lacking in security strength, because of the inherently linear property of mathematical or optical transformation, and are vulnerable to various attacks such as chosen plaintext attack [8][9][10][11]. In addition, most schemes mainly focused on single-image encryption, which leads to deficiency in multiple-image encryption and transmission [8].…”

Section: Introductionmentioning

confidence: 99%

“…However, when RPMs are used as public keys to encrypt different plaintexts, this method is still vulnerable to specific attacks such as known public key attack [13,14]. To enhance security, it has been further extended from the Fourier transform (FT) domain to the Fresnel transform (FST) domain [15], the fractional Fourier transform (FrFT) domain [8], the Gyrator transform (GT) domain [11,16], …”

Section: Introductionmentioning

confidence: 99%

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Asymmetric Multiple-Image Encryption Based on Octonion Fresnel Transform and Sine Logistic Modulation Map

2016

Journal of the Optical Society of Korea

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A novel asymmetric multiple-image encryption method using an octonion Fresnel transform (OFST) and a two-dimensional Sine Logistic modulation map (2D-SLMM) is presented. First, a new multiple-image information processing tool termed the octonion Fresneltransform is proposed, and then an efficient method to calculate the OFST of an octonion matrix is developed. Subsequently this tool is applied to process multiple plaintext images, which are represented by octonion algebra, holistically in a vector manner. The complex amplitude, formed from the components of the OFST-transformed original images and modulated by a random phase mask (RPM), is used to derive the ciphertext image by employing an amplitude-and phase-truncation approach in the Fresnel domain. To avoid sending whole RPMs to the receiver side for decryption, a random phase mask generation method based on SLMM, in which only the initial parameters of the chaotic function are needed to generate the RPMs, is designed. To enhance security, the ciphertext and two decryption keys produced in the encryption procedure are permuted by the proposed SLMM-based scrambling method. Numerical simulations have been carried out to demonstrate the proposed scheme's validity, high security, and high resistance to various attacks.

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Section: The Proposed Asymmetric Multiple-image Encryption and Decmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Asymmetric Multiple-Image Encryption Based on Octonion Fresnel Transform and Sine Logistic Modulation Map

2016

Journal of the Optical Society of Korea

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“…Optical encryption methods have attached much attention because they have various merits [13][14][15][16][17][18][19][20][21][22][23][24][25]. Double random-phase encoding in the Fresnel domain was proposed in 2004, and the encryption method is more flexible and compact because it is lensless and has higher security [26].…”

Section: Introductionmentioning

confidence: 99%

Two-Step Integral Imaging Coding Based Three-Dimensional Information Encryption Approach

Min

Xiao

et al. 2018

Security and Communication Networks

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We propose a two-step integral imaging coding based three-dimensional (3D) information encryption approach in this paper. In this approach, a synthetic aperture integral imaging system is applied to acquire a set of parallax images including spatial and angular information of 3D scene. In the encryption process, two-step coding is performed. In the first step, the acquired parallax images are encrypted firstly by double random-phase coding in the Fresnel domain. In the second step, these encrypted parallax images are encoded into a cipher image by mapping algorithm which is used to generate elemental image array of integral imaging. In the decryption process, an inverse operation is performed. The experimental results demonstrate the feasibility, security, and robustness of the proposed approach.

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“…Encryption algorithms in the spatial domain [1,2] are mainly based on scrambling image pixels or blocks. Encryption algorithms in transformed domain [3][4][5][6][7][8][9] are mainly based on scrambling or encrypting the transform coefficients or blocks. Although most of the reported encryption techniques based on transformed domains can be implemented by optical setups which have high speed in encryption, but they lack in security strength because of their inherent linearity of the overall system.…”

Section: Introductionmentioning

confidence: 99%

An asymmetric color image encryption method by using deduced gyrator transform

Yao

Chen

Qiang

et al. 2017

Optics and Lasers in Engineering

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An asymmetric single-channel color image encryption based on Hartley transform and gyrator transform

Cited by 57 publications

References 33 publications

Asymmetric Multiple-Image Encryption Based on Octonion Fresnel Transform and Sine Logistic Modulation Map

Asymmetric Multiple-Image Encryption Based on Octonion Fresnel Transform and Sine Logistic Modulation Map

Two-Step Integral Imaging Coding Based Three-Dimensional Information Encryption Approach

An asymmetric color image encryption method by using deduced gyrator transform

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