An asymmetric color-image cryptosystem based on spiral phase transformation and equal modulus decomposition

et al. 2022

Chinese Phys. B

Self Cite

A secure encryption scheme for color images based on channel fusion and spherical diffraction is proposed in this paper. In the proposed encryption scheme, a channel fusion technology based on the discrete wavelet transformation is used to transform color images into single-channel grayscale images, firstly. In the process of transformation, the hyperchaotic system is used to permutate and diffuse the information of red–green–blue (RGB) channels to reduce the correlation of channels. Then the fused image is encrypted by spherical diffraction transform. Finally, the complex-valued diffraction result is decomposed into two real parts by the improved equal module decomposition, which are the ciphertext and the private key. Compared with the traditional color image encryption schemes that encrypt RGB channels separately, the proposed scheme is highly secure and robust.

“…It shows that the proposed scheme is more resistant to ciphertext occlusion than the counterpart in Ref. [36].…”

Section: Noise and Occlusion Attacksmentioning

confidence: 86%

Section: Improved Equal Module Decompositionmentioning

confidence: 99%

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Color-image encryption scheme based on channel fusion and spherical diffraction

YuanXi

et al. 2022

Chinese Phys. B

Self Cite

“…A color-image contains richer information than the grayscale image, so color-image encryption [31]- [34] has always been an important issue. However, color-image is individually encrypted with the same algorithm for each channel [35], [36], which leads to data volume surge, inefficient recording or transmission and is weak in single-channel attacks, or is encrypted each channel sequentially [37]- [39], which makes the last encrypted channel less secure. Besides, the transform-based color-image encryption generally outputs complex ciphertext, which is hard to record and transmit.…”

Section: Introductionmentioning

confidence: 99%

A Novel 3D Vector Decomposition for Color-Image Encryption

Zhu

et al. 2020

IEEE Photonics J.

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In this paper, a novel 3D vector decomposition is proposed for color-image encryption, in which a 3D vector is decomposed into two 3D vectors with random size in a random plane for providing a reliable security constraint. The technique of 3D vector decomposition, as far as we know, firstly offers a three-component encryption with one action, which fits well color-image encryption, and outputs a real ciphertext, which is convenient for recording and transmission. Furthermore, we employ an 1D chaos, which has strong chaotic properties, and reality-preserving fractional Hartley transform to cooperate 3D vector decomposition for constructing a color-image cryptosystem. Therefore, the proposed cryptosystem accomplishes improved security by reducing the single-channel attack risk in individual color-image encryption and avoiding the vulnerable channel in sequential color-image encryption as well as reduced the amount of data of transform-based cryptosystem by avoiding the complex output. Also, it has the advantages of strong chaotic performances, large key space and high key sensitivity, which is highly robust against various attacks. Experimental results show the effectiveness and superiority of the proposed cryptosystem.

“…With the development of information technology, how to ensure the security of image information becomes an essential point. In image encryption research, optical information processing technology and digital technology have been widely used in image encryption [1][2][3][4][5][6][7]. Refregier and Javidi proposed double random phase encoding (DRPE) in 1995, which pioneered the field of optical encryption [8].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Image Encryption with Super-Lager-Capacity Based on Spherical Diffraction and Filtering Diffusion

Zhang

et al. 2020

Applied Sciences

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A multi-image encryption with super-large-capacity is proposed by using spherical diffraction and filtering diffusion. In the proposed method, initial images are processed sequentially by filtering diffusion and chaos scrambling. The images are combined into one image using XOR operation. The combined image is encrypted by improved equal modulus decomposition after spherical diffraction. There are three main contributions of the proposed method—(1) resisting phase-retrieval attack due to the asymmetry of spherical diffraction; (2) high flexibility of decrypting images individually; and (3) super-large encryption capacity of the product of image resolution and grayscale level, which is the most significant advantage. The feasibility and effectiveness of the proposed encryption are verified by numerical simulation results.