Quantum image scaling based on bilinear interpolation with arbitrary scaling ratio

被引：19
|
作者：
Zhou, Ri-Gui [1 ,2 ]
Cheng, Yu [1 ,2 ]
Liu, DaQian [1 ,2 ]
机构：
[1] Shanghai Maritime Univ, Coll Informat Engn, Shanghai 201306, Peoples R China
[2] Res Ctr Intelligent Informat Proc & Quantum Intel, Shanghai 201306, Peoples R China
来源：
QUANTUM INFORMATION PROCESSING | 2019年 / 18卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Quantum image processing; Image scaling; Quantum representation; Bilinear interpolation; REPRESENTATION; REALIZATION;
D O I：
10.1007/s11128-019-2377-4
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
In recent years, quantum image scaling considered as one of the most common and basic operations in quantum image processing has been widely studied. In this paper, quantum algorithm based on bilinear interpolation with arbitrary scaling ratio is proposed to resize quantum images. Firstly, a quantum image with arbitrary size HxW is described by the generalized quantum image representation. Then, bilinear interpolation is used to create new pixels (when scaling up) or delete redundant pixels (when scaling down). By utilizing the quantum operations that have been designed, the concrete circuits of quantum image scaling algorithm with arbitrary scaling ratio are implemented. Finally, the network complexity of the quantum circuits based on the basic quantum gates is analyzed and the simulation results based on the classical computer's MATLAB software are given.
引用
收藏
页数：19
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