Gotowa bibliografia na temat „Quantum bit-plane scrambling”

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Artykuły w czasopismach na temat "Quantum bit-plane scrambling"

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Chen, Xiao, Zhihao Liu, Hanwu Chen, and Liang Wang. "A novel enhanced quantum image representation based on bit-planes for log-polar coordinates." Quantum Information and Computation 22, no. 1&2 (2022): 17–37. http://dx.doi.org/10.26421/qic22.1-2-2.

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Quantum image representation has a significant impact in quantum image processing. In this paper, a bit-plane representation for log-polar quantum images (BRLQI) is proposed, which utilizes $(n+4)$ or $(n+6)$ qubits to store and process a grayscale or RGB color image of $2^n$ pixels. Compared to a quantum log-polar image (QUALPI), the storage capacity of BRLQI improves 16 times. Moreover, several quantum operations based on BRLQI are proposed, including color information complement operation, bit-planes reversing operation, bit-planes translation operation and conditional exchange operations b
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Zhou, Ri-Gui, Ya-Juan Sun, and Ping Fan. "Quantum image Gray-code and bit-plane scrambling." Quantum Information Processing 14, no. 5 (2015): 1717–34. http://dx.doi.org/10.1007/s11128-015-0964-6.

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Basiri, Saeed, Laleh Farhang Matin, and Mosayeb Naseri. "Innovative Quantum Encryption Method for RGB Images Based on Bit-Planes and Logistic Maps." Computation 13, no. 2 (2025): 56. https://doi.org/10.3390/computation13020056.

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This study presents a novel encryption method for RGB (Red–Green–Blue) color images that combines scrambling techniques with the logistic map equation. In this method, image scrambling serves as a reversible transformation, rendering the image unintelligible to unauthorized users and thus enhancing security against potential attacks. The proposed encryption scheme, called Bit-Plane Representation of Quantum Images (BRQI), utilizes quantum operations in conjunction with a one-dimensional chaotic system to increase encryption efficiency. The encryption algorithm operates in two phases: first, th
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Rachmawanto, Eko Hari, Ajib Susanto, Didik Hermanto, Christy Atika Sari, Ichwan Setiarso, and Md Kamruzzaman Sarker. "Hybrid image encryption using quantum bit-plane scrambling and discrete wavelet transform." Bulletin of Electrical Engineering and Informatics 14, no. 3 (2025): 1912–24. https://doi.org/10.11591/eei.v14i3.8887.

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Digital image security is increasingly vulnerable to sophisticated attacks, underscoring the urgent need for robust encryption techniques. Traditional encryption methods often fall short in defending against advanced threats, highlighting the importance of innovative solutions to protect digital images. This study tackles these challenges by incorporating quantum computing into image encryption, employing techniques such as bit-plane scrambling, pixel permutation, and bit permutation. These strategies enhance security by introducing complex, non-linear transformations that make decryption atte
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Zhou, Ri-Gui, Peng Liu Yang, Xing Ao Liu, and Hou Ian. "Quantum color image watermarking based on fast bit-plane scramble and dual embedded." International Journal of Quantum Information 16, no. 07 (2018): 1850060. http://dx.doi.org/10.1142/s0219749918500600.

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Most of the studied quantum encryption algorithms are based on square images. In this paper, based on the improved novel quantum representation of color digital images model (INCQI), a quantum color image watermarking scheme is proposed. First, INCQI improved from NCQI is used to represent the carrier and watermark images with the size [Formula: see text] and [Formula: see text], respectively. Secondly, before embedding, the watermarking needs to be preprocessed. That is, the watermark image with the size of [Formula: see text] with 24-qubits color information is disordered by the fast bit-pla
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Kurian, Nikitha M. "Enhancing Cybersecurity in Military IOT through Robust Encryption." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 6802–7. https://doi.org/10.22214/ijraset.2025.70008.

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Although the expansion of IoT applications has transformed areas like security and home automation, device constraints have also generated questions around data leaks. This work suggests a new cryptographic algorithm and substitution box for safe data transfer in Internet of Things devices including smartwatches and smartphones. The proposed research is divided into two stages: (I) the creation of a substitution box (S-box), which is suggested by dividing phase space into 256 regions (0–255) using a random initial value and control parameter for the Piecewise Linear Chaotic Map (PWLCM), iterat
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Eko, Hari Rachmawanto, Susanto Ajib, Hermanto Didik, Atika Sari Christy, Setiarso Ichwan, and Kamruzzaman Sarker Md. "Hybrid image encryption using quantum bit-plane scrambling and discrete wavelet transform." May 15, 2025. https://doi.org/10.11591/eei.v14i3.8887.

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Digital image security is increasingly vulnerable to sophisticated attacks, underscoring the urgent need for robust encryption techniques. Traditional encryption methods often fall short in defending against advanced threats, highlighting the importance of innovative solutions to protect digital images. This study tackles these challenges by incorporating quantum computing into image encryption, employing techniques such as bit-plane scrambling, pixel permutation, and bit permutation. These strategies enhance security by introducing complex, non-linear transformations that make decryption atte
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Zhu, Hai-hua, Zi-gang Chen, and Tao Leng. "Random permutation-based mixed-double scrambling technique for encrypting MQIR image." Journal of Applied Physics 135, no. 1 (2024). http://dx.doi.org/10.1063/5.0177920.

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The dual-scrambling scheme that combines position transformation and bit-plane transformation is a popular image encryption scheme. However, such schemes need more key information, and the encryption and decryption processes are complicated. In addition, the existing quantum image dual-scrambling schemes mainly deal with square images. In this paper, we propose a hybrid scrambling encryption scheme for multi-mode quantum image representation (MQIR) images based on random permutation, in which the H×W quantum image is represented in MQIR. A random number generator factor s uniquely associates o
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