论文标题
量子中值滤波器用于总变化图像降级
Quantum median filter for Total Variation image denoising
论文作者
论文摘要
在这个名为“量子计算”的新计算范式中，来自世界各地的研究人员正在通过艰难的知识传输过程来设计用于图像处理的量子电路的第一步。这项工作被命名为量子图像处理，这是一个由量子计算机强大的平行计算功能推动的新兴研究字段。这项工作朝这个方向发展，并提出了一种有力的图像deoing方法的挑战性开发，例如在量子环境中的总变化（TV）模型。描述了提出的量子电视，并分析了其子组件。尽管量子设备的当前功能具有自然局限性，但实验结果表明，与经典的变异电视对应物相比，具有竞争性的降解性能。
In this new computing paradigm, named quantum computing, researchers from all over the world are taking their first steps in designing quantum circuits for image processing, through a difficult process of knowledge transfer. This effort is named Quantum Image Processing, an emerging research field pushed by powerful parallel computing capabilities of quantum computers. This work goes in this direction and proposes the challenging development of a powerful method of image denoising, such as the Total Variation (TV) model, in a quantum environment. The proposed Quantum TV is described and its sub-components are analysed. Despite the natural limitations of the current capabilities of quantum devices, the experimental results show a competitive denoising performance compared to the classical variational TV counterpart.
