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首页> 外文期刊>International Journal of Theoretical Physics: A Journal of Original Research and Reviews in Theoretical Physics and Related Mathematics, Dedicated to the Unification of Physics >Quantum Image Edge Extraction Based on Improved Sobel Operator
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Quantum Image Edge Extraction Based on Improved Sobel Operator

机译：基于改进的Sobel操作员的量子图像边缘提取

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摘要

Edge extraction is a basic task in image processing. This paper proposes a quantum image edge extraction algorithm based on improved sobel operator for the generalized quantum image representation (GQIR) to solve the real-time problem. The quantum image model of GQIR can store arbitrary quantum images with a size of H x W. Our scheme can calculate the gradients of image intensity of all the pixels simultaneously. Then, the concrete circuits of quantum image edge extraction algorithm are implemented by using a series of quantum operators which have been designed. Compared with existing quantum edge extraction algorithms, our scheme can achieve more accurate edge extraction, especially for diagonal edges. Finally, the complexity of the quantum circuits were been analyzed based on the basic quantum gates and give the simulation experiment results on classical computer.
机译：边缘提取是图像处理中的基本任务。 本文提出了一种基于改进的Sobel运算符的量子图像边缘提取算法，用于广义量子图像表示（GQIR）来解决实时问题。 GQIR的量子图像模型可以存储具有H×W尺寸的任意量子图像。我们的方案可以同时计算所有像素的图像强度的梯度。 然后，通过使用已经设计的一系列量子操作员来实现量子图像边缘提取算法的混凝土电路。 与现有量子边缘提取算法相比，我们的方案可以实现更精确的边缘提取，特别是对于对角线边缘。 最后，基于基本量子门进行分析量子电路的复杂性，并在古典计算机上给出模拟实验结果。

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