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基于双量子比特态测量的量子自适应中值滤波

袁素真 毛峡 陈立江 薛雨丽

袁素真, 毛峡, 陈立江, 等 . 基于双量子比特态测量的量子自适应中值滤波[J]. 北京航空航天大学学报, 2013, 39(11): 1443-1448.
引用本文: 袁素真, 毛峡, 陈立江, 等 . 基于双量子比特态测量的量子自适应中值滤波[J]. 北京航空航天大学学报, 2013, 39(11): 1443-1448.
Yuan Suzhen, Mao Xia, Chen Lijang, et al. Quantum adaptive median filtering based on dual qubits state measurement[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(11): 1443-1448. (in Chinese)
Citation: Yuan Suzhen, Mao Xia, Chen Lijang, et al. Quantum adaptive median filtering based on dual qubits state measurement[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(11): 1443-1448. (in Chinese)

基于双量子比特态测量的量子自适应中值滤波

基金项目: 国家自然科学基金资助项目(61103097);高等学校博士学科点专项科研基金资助项目(20121102130001)
详细信息
  • 中图分类号: TP391.4;O413.1

Quantum adaptive median filtering based on dual qubits state measurement

  • 摘要: 为了进一步增强去噪时对图像细节的保护能力,并同时提高算法实时性,提出了基于双量子比特态测量的量子自适应中值滤波算法,该算法首先将待处理图像像素转化为量子叠加态,然后依据量子测量原理对此叠加态进行量子测量,最后将测量后的坍缩态转化为输出图像.该算法使用双量子比特态来描述单像素,拓展了单量子比特态与单像素的对应关系.双量子比特态的4个叠加基态增加了被描述像素的信息量,可以更精确地对像素进行操作.该算法根据噪声特点设计双量子比特态的概率密度公式,并根据测量坍缩态自适应地调整滤波窗口尺寸.实验证明,该算法与标准中值滤波和经典自适应中值滤波相比,具有更好的综合滤波能力,既可以有效地滤除噪声点,很好地保护图像细节,又具有很好的实时性.

     

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出版历程
  • 收稿日期:  2013-01-28
  • 网络出版日期:  2013-11-30

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