量子电子学报 ›› 2023, Vol. 40 ›› Issue (6): 836-849.doi: 10.3969/j.issn.1007-5461.2023.06.004

• 图像与信息处理 • 上一篇    下一篇

一种量子彩色图像矢量中值滤波方案

冉术坤 , 席景科 *, 徐 凯 , 牛金龙   

  1. ( 中国矿业大学计算机科学与技术学院, 江苏 徐州 221116 )
  • 收稿日期:2022-07-03 修回日期:2022-08-04 出版日期:2023-11-28 发布日期:2023-11-28
  • 通讯作者: E-mail: xjk@cumt.edu.cn E-mail:E-mail: xjk@cumt.edu.cn
  • 作者简介:冉术坤 ( 1998 - ), 重庆奉节人, 研究生, 主要从事量子图像处理方面的研究。E-mail: ranshukun@cumt.edu.cn
  • 基金资助:
    江苏省研究生科研与实践创新计划 (SJCX22_1135), 中国矿业大学未来杰出人才助力计划 (2022WLJCRCZL271)

A vector median filtering scheme for quantum color images

RAN Shukun, XI Jingke *, XU Kai, NIU Jinlong   

  1. ( School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China )
  • Received:2022-07-03 Revised:2022-08-04 Published:2023-11-28 Online:2023-11-28
  • Supported by:
    the Postgraduate Research & Practice Innovation Program of Jiangsu Province;the Graduate Innovation Program of China University of Mining and Technology

摘要: 为进一步完善量子图像处理领域中的彩色图像降噪算法, 提出了一种基于量子矢量中值计算的量子彩色图 像滤波方法。该方法利用量子纠缠将邻域像素与中心像素绑定至同一位置以避免量子卷积运算, 并将补码引入到量 子电路中, 从而简化了矢量距离计算的量子电路, 此外还采用一次比较两次交换的方式设计了矢量中值选取的量子 电路, 由此构建出完整的量子图像矢量中值滤波电路。实验相关指标表明, 量子图像矢量中值滤波对彩色图像椒盐 噪声的抑制效果与经典矢量中值滤波基本相同, 但将经典矢量中值滤波算法的时间复杂度从O (22n ) 降低至O (10n2 + 216q2 )。

关键词: 图像处理, 量子彩色图像滤波, 矢量中值计算, 量子电路

Abstract: To further improve the color image denoising algorithm in quantum image processing, a quantum color image filtering method based on quantum vector median calculation is proposed. The method uses quantum entanglement to bind neighbor pixels and central pixel to the same position to avoid quantum convolution, and introduces the complement code into the quantum circuit to simplify the quantum circuit for vector distance calculation. In addition, a quantum circuit of vector median extraction is designed by using one-time comparison and two-time exchange. Thereby, a complete quantum circuit of the vector median filtering is constructed. Relevant experimental indicators show that the proposed approach has the same noise suppression effect on color salt and pepper noise as the classical vector median filtering, but the time complexity is reduced from O (22n ) of the classical vector median filtering algorithm to O (10n2 + 216q2 ) of the proposed algorithm.

Key words: image processing, quantum color image filtering, vector median calculation, quantum circuit

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