- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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Quantum Image Encryption Based on Henon Mapping
摘要： Quantum image processing has great significance as a branch of quantum computing. This paper gives a quantum image encryption based on Henon mapping, which breaks away from the restriction of classical computers and does the work in quantum computers end to end, including the generation of the chaos sequence, the encryption and the decryption. The algorithm is based on the GQIR quantum image representation model and the two-dimensional Henon chaotic mapping. However, the decimal sequence generated by Henon mapping can not be directly applied to quantum computers. Hence, we reform the Henon mapping by binary shift. The quantum image is encrypted by being XORed with the quantum Henon mapping. Simulation experiments indicate that the encrypted image has good radomness and the pixel values are evenly distributed. Since the chaotic sequence itself is suitable for image encryption, coupled with its own quantum confidentiality, the encryption method of this paper is safe, convenient and reliable.
关键词： Quantum image processing,Quantum computation,Henon mapping,Quantum image encryption,Chaos encryption
更新于2025-09-23 15:23:52
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Quantum image edge extraction based on classical Sobel operator for NEQR
摘要： As the basic problem in image processing and computer vision, the purpose of edge detection is to identify the point where the brightness of the digital image changes obviously. It is an indispensable task in digital image processing that image edge detection significantly reduces the amount of data and eliminates information that can be considered irrelevant, preserving the important structural properties of the image. However, because of the sharp increase in the image data in the actual applications, real-time problem has become a limitation in classical image processing. In this paper, quantum image edge extraction for the novel enhanced quantum representation (NEQR) is designed based on classical Sobel operator. The quantum image model of NEQR utilizes the inherent entanglement and superposition properties of quantum mechanics to store all the pixels of an image in a superposition state, which can realize parallel computation for calculating the gradients of the image intensity of all the pixels simultaneously. Through constructing and analyzing the quantum circuit of realization image edge extraction, we demonstrate that our proposed scheme can extract edges in the computational complexity of O(n2 + 2q+4) for a NEQR quantum image with a size of 2n × 2n. Compared with all the classical edge extraction algorithms and some existing quantum edge extraction algorithms, our proposed scheme can reach a significant and exponential speedup. Hence, our proposed scheme would resolve the real-time problem of image edge extraction in practice image processing.
关键词： Sobel operator,Edge detection,Real-time problem,Quantum image processing
更新于2025-09-10 09:29:36
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A dual quantum image scrambling method
摘要： Considering blindness in information security, image scrambling method is defined as a procedure by which an image is turned into an absolutely different meaningless image through a reversible transformation. By scrambling an image, the ability to resist against unauthorized attacks and accordingly, augmenting security can be obtained effectively. In this approach, a quantum representation of a digital scrambling algorithm is investigated for quantum NCQI color images. Experimental consequences encompassing histogram diagram, entropy rate, correlation coefficient and number of pixels change ratio, which are analyzed in MATLAB environment, indicate a good performance, showing that the proposed method is much more secure and applicable than the previous one currently found in the literature related to the quantum image disordering methods.
关键词： NCQI color image,Quantum image processing,Image scrambling
更新于2025-09-09 09:28:46
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Quantum image edge extraction based on Laplacian operator and zero-cross method
摘要： Edge detection, as a fundamental problem in image processing and computer vision, is an indispensable task in digital image processing. Because of the sharp increase in the image data in the actual applications, real-time problem has become a limitation in classical image processing. In this paper, based on the novel enhanced quantum image representation (NEQR) of digital images, an enhanced quantum edge detection algorithm is investigated, which combines the classical Laplacian operator and zero-cross method. Because NEQR utilizes the superposition state of qubit sequence to store all the pixels of an image, the corresponding quantum image edge detection algorithm can realize parallel computation to implement the Laplacian ?lter and further calculate the image intensity of all the pixels according zero-cross method. The circuit complexity analysis demonstrates that our presented quantum image edge algorithm can reach a signi?cant and exponential speedup compared to classical counterparts. Hence, our proposed quantum image edge detection algorithm would resolve the real-time problem of image edge extraction in practice image processing.
关键词： Zero-cross method,Edge detection,Quantum image processing,Laplacian operator
更新于2025-09-04 15:30:14