Journal Article10.1007/S10773-021-04862-5
Quantum Image Encryption Based on Quantum Image Decomposition
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TL;DR: This paper combines the representation method of quantum images and proposes a quantum image encryption algorithm based on image correlation decomposition that has lower computational complexity than classic encryption algorithms and surpasses the security of classical image encryption.
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Abstract: Aiming at the slow processing speed of classic image encryption algorithms and the security analysis of existing quantum image encryption algorithms, this paper combines the representation method of quantum images and proposes a quantum image encryption algorithm based on image correlation decomposition. Using the principle of quantum state superposition and measurement, the association between image pixels is established, the image is decomposed into a series of feature sub-images and stored in a complete binary tree set, and different sub-images are operated and encrypted by random phase operation and quantum rotation operation. Then superimpose all the sub-images to obtain the ciphertext image. The algorithm has a larger key space so that it can resist brute force attacks. At the same time, the quantum encryption algorithm has lower computational complexity than classic encryption algorithms. In addition, because the ciphertext image is transmitted in the communication channel in the form of a quantum state, the security of quantum image encryption also surpasses the security of classical image encryption.
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Citations
Exploring Quantum Machine Learning and Feature Reduction Techniques for Wind Turbine Pitch Fault Detection
Camila Correa-Jullian,Sergio Cofre-Martel,Gabriel San Martin,Enrique López Droguett,Gustavo de Novaes Pires Leite,Alexandre Bonnet R. Costa +5 more
TL;DR: Results show that the proposed quantum approach is comparable to conventional ML models in terms of performance and can outperform traditional models (random forest, k-nearest neighbors) for the selected reduced dimensionality of 19 features for both PCA and AE.
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TL;DR: A novel algorithm for quantum color image encryption based on three-dimensional chaotic systems, which is efficient and implementable, and the superposition and entanglement properties of quantum physics greatly improve the efficiency of complex image processing algorithms.
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Quantum Image Encryption Based on Quantum DNA Codec and Pixel-Level Scrambling
TL;DR: In order to increase the security and robustness of quantum images, Wang et al. as discussed by the authors combined the quantum DNA codec with quantum Hilbert scrambling to offer an enhanced quantum image encryption technique, which can withstand statistical analysis and differential assaults.
Quantum Image Encryption Using a Self-Adaptive Hash Function-Controlled Chaotic Map (SAHF-CCM)
TL;DR: The aim of this paper is to introduce a self-adaptive encryption scheme to protect quantum image efficiently with minimal storage requirements and the experimental results proved that the scheme is robust, secure and efficient.
Efficient quantum private comparison protocol utilizing single photons and rotational encryption
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11
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