Multi-Image Encryption Method via Computational Integral Imaging Algorithm

Li, Xiaowu; Yu, Chuying; Guo, JunFeng

doi:10.3390/e24070996

Cited by 8 publications

(10 citation statements)

References 52 publications

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“…Singh et al [10] proposed a grayscale image encryption scheme based on jigsaw transform and chaos, in which the random intensity mask was generated from the chaotic Logistic map. In addition to the DRPE-based and CRPE-based encryption schemes, researchers have also proposed a series of optical image encryption schemes based on digital holography [11,12], computer-generated holography [13,14], phase retrieval algorithm [15], interference [16], joint transform correlator [17], diffractive imaging [18], computational ghost imaging [19], single pixel imaging [20], ptychography [21], integral imaging [22] and deep learning [23].…”

Section: Introductionmentioning

confidence: 99%

Optical voice encryption based on speckle-illuminated fourier ptychography and plaintext-related chaotic random phase mask

Li,

Xu,

Wang

et al. 2024

Phys. Scr.

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In this paper, we propose an optical voice encryption scheme based on speckle-illuminated Fourier ptychography (FP) and plaintext-related chaotic random phase mask (CRPM). In this proposed encryption scheme, the plaintext-related CRPMs are generated by chaotic Lozi map and secure hash algorithm (SHA-256). During the encryption process, the voice signal to be encrypted is first converted into a two-dimensional (2D) voice map. Then, with the help of CRPMs and speckle-illuminated FP, the voice map is encrypted into a series of noise-like low-resolution images. During the decryption process, the original voice signal can be recovered from the series of noise-like low-resolution images via Fourier ptychographic phase retrieval algorithm and the CRPMs. To the best of our knowledge, it is the first time to use the Fourier ptychography and chaotic random phase mask to implement the optical encryption of the voice signal. In addition, in this proposed encryption scheme, the chaotic parameters can replace the whole random phase masks as the secret keys, which makes the management and transmission of the secret keys become more convenient. Moreover, since the plaintext-related chaotic parameter keys can be updated dynamically, the security of the proposed encryption scheme can be further improved. The feasibility, security and robustness of the proposed encryption scheme are further analyzed by numerical simulations.

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Section: Introductionmentioning

confidence: 99%

Optical voice encryption based on speckle-illuminated fourier ptychography and plaintext-related chaotic random phase mask

Li,

Xu,

Wang

et al. 2024

Phys. Scr.

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“…Compared with 2D information, three-dimensional (3D) information can accurately record the depth, location, and spatial relationship of information, which has greater capacity and richer information and shows more apparent advantages in terms of storage capacity, transmission, and display [10]. Consequently, encryption of 3D information has emerged as a critical area of research, including diffraction imaging [11], integral imaging [12,13], digital holography [14,15], and computer-generated hologram (CGH) [16,17]. Among them, CGH has the advantages of flexible operation, easy storage, and simple reconstruction in virtual and realistic 3D objects and has attracted much attention.…”

Section: Introductionmentioning

confidence: 99%

An encrypted hiding scheme for 3D objects based on CGH and Henon mapping

Ji,

Xi,

et al. 2024

Laser Phys. Lett.

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A method is proposed to enhance the security of three-dimensional (3D) objects through computer-generated hologram (CGH) encryption and hiding. The process begins by encoding the 3D object using an iterative angular-spectrum layer-oriented method to create an optimized phase-only CGH. Next, the encrypted image is produced by modulating the phase-only CGH with a chaotic random phase mask (CRPM) generated through Henon mapping. Subsequently, a combination of discrete wavelet transform (DWT) and singular value decomposition (SVD) is utilized to embed the encrypted data into a visually secure image, ensuring the encryption and concealment of 3D objects. During decryption, the accurate decryption procedure and keys must be applied to achieve the final reconstruction. The utilization of CGH in conjunction with CRPM effectively enhances the security of 3D objects, while the integration of DWT and SVD ensures the visual security properties of the encrypted data, providing a dual layer of protection for 3D objects. Experimental simulation results demonstrate that this approach achieves high-security encryption and concealment of 3D objects, ensuring high-quality decryption of 3D objects during the reconstruction process.

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“…Due to the particularity of chaotic sequences, such as pseudo-random, aperiodic, and highly sensitive to control parameters and initial conditions, and the ability to generate a large number of chaotic sequences quickly and accurately, these characteristics make chaotic systems especially suitable for image encryption. Since Fridrich [ 6 ] first designed an image encryption algorithm based on a 2D chaotic map, researchers have designed various image encryption algorithms using chaotic systems [ 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 ]. Here, some typical image encryption algorithms are introduced as follows.…”

Section: Introductionmentioning

confidence: 99%

“…In other words, due to the wrong key, the decrypted ciphertext becomes a white image with several “black spots” instead of a random chaotic image, which makes the encryption system more secure. Li et al [ 13 ] proposed a multi-image encryption scheme based on the DNA-chaos algorithm. In this scheme, multiple images are merged into one image by a computational integral imaging algorithm, which significantly improves the efficiency of image encryption.…”

Section: Introductionmentioning

confidence: 99%

Cryptanalyzing and Improving an Image Encryption Algorithm Based on Chaotic Dual Scrambling of Pixel Position and Bit

Zhu

Yan

2023

Entropy

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An image encryption algorithm for the double scrambling of the pixel position and bit was cryptanalyzed. In the original image encryption algorithm, the positions of pixels were shuffled totally with the chaotic sequence. Then, the 0 and 1-bit positions of image pixels were scrambled through the use of another chaotic sequence generated by the input key. The authors claimed that the algorithm was able to resist the chosen-plaintext attack. However, through the analysis of the encryption algorithm, it was found that the equivalent key of the whole encryption algorithm was the scrambling sequence T in the global scrambling stage, the pixel bit level scrambling sequence WT and the diffusion sequence S. The generation of scrambling sequence T is related to the sum of all pixel values of the plaintext image, while the generation of WT and S is not associated with the image to be encrypted. By using a chosen-plaintext attack, these equivalent key streams can be cracked so as to realize the decoding of the original chaotic encryption algorithm. Both theoretical analysis and experimental results verify the feasibility of the chosen-plaintext attack strategy. Finally, an improved algorithm was proposed to overcome the defect, which can resist the chosen-plaintext attack and has the encryption effect of a “one time pad”.

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Multi-Image Encryption Method via Computational Integral Imaging Algorithm

Cited by 8 publications

References 52 publications

Optical voice encryption based on speckle-illuminated fourier ptychography and plaintext-related chaotic random phase mask

Optical voice encryption based on speckle-illuminated fourier ptychography and plaintext-related chaotic random phase mask

An encrypted hiding scheme for 3D objects based on CGH and Henon mapping

Cryptanalyzing and Improving an Image Encryption Algorithm Based on Chaotic Dual Scrambling of Pixel Position and Bit

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