量子电子学报 ›› 2022, Vol. 39 ›› Issue (3): 343-353.doi: 10.3969/j.issn.1007-5461.2022.03.006

• 图像与信息处理 • 上一篇    下一篇

一种量子图像伪彩色编码方法

臧一鸣, 朱尚超, 魏战红∗, 刘志飞, 林小竹, 孙文韬   

  1. ( 北京石油化工学院信息工程学院, 北京102617 )
  • 收稿日期:2021-04-29 修回日期:2021-06-24 出版日期:2022-05-28 发布日期:2022-05-28
  • 通讯作者: weizhanhong@bipt.edu.cn E-mail:weizhanhong@bipt.edu.cn
  • 作者简介:臧一鸣( 1994 - ), 女, 河北保定人, 研究生, 主要从事量子图像处理方面的研究。E-mail: zym520102@163.com
  • 基金资助:
    Supported by National Natural Science Foundation of China, Youth Science Foundation Project (国家自然科学基金青年科学基金 项目, 61702040), General Project of Beijing Municipal Education Commission Scientific Research Program (北京市教委科研科技计划一般项目, KM201810017006), Beijing Natural Science Foundation Youth Project (北京市自然科学基金青年项目, 4174089)

A pseudo color coding method for quantum image

ZANG Yiming, ZHU Shangchao, WEI Zhanhong∗, LIU Zhifei, LIN Xiaozhu, SUN Wentao   

  1. ( School of Information Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China )
  • Received:2021-04-29 Revised:2021-06-24 Published:2022-05-28 Online:2022-05-28

摘要: 为了解决量子图像处理中的图像增强问题, 提出了一种基于灰度级-彩色变换法的量子图像伪彩色编码 方法。基于通用量子图像表示(GQIR) 模型, 对热金属码分段函数进行量子化, 并给出了该算法实现的量子线路 图, 该量子线路设计分为量子R 变换器、量子G 变换器和量子B 变换器三部分, 总的量子线路图所用基本量子 门数为2947。相比于经典伪彩色编码, 量子图像伪彩色编码基于量子态的叠加性和相干性, 实现了空间复杂度 和时间复杂度的指数级降低。仿真实验结果表明该算法具有可行性。

关键词: 图像处理, 量子图像伪彩色编码, 灰度级-彩色变换法, 热金属码分段函数

Abstract: In order to solve the problem of image enhancement in quantum image processing, a quantum image pseudo color coding method based on gray level-color transformation method is proposed. Based on the generalized quantum image representation (GQIR) model, the hot metal code segment function is quantized, and the quantum circuit diagram of the algorithm is given. The quantum circuit design is divided into three parts: quantum R converter, quantum G converter and quantum B converter, and the number of basic quantum gates used in the total quantum circuit diagram is 2947. Compared with classical pseudo color coding, quantum image pseudo color coding is based on the superposition and coherence of quantum states, which can reduce the spatial and temporal complexity exponentially. The simulation results show that the algorithm is feasible.

Key words: image processing, quantum image pseudo-color coding, gray level-color transformation method, piecewise function of hot metal code

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