留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

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.

     

  • [1] Lo H K, Spiller T, Popescu S.Introduction to quantum information and computation[M].Singapore:World Scientific, 1998:89-104
    [2] Brooks M.Quantum computing and communication[M].Berlin:Springer Verlag, 1999:46-58
    [3] Williams C P, Clearwater S H.Ultimate zero and one:computing at the quantum frontier[M].New York:Copernicus, 2000:103-120
    [4] Nielsen M A, Chuang I L.Quantum computation and quantum information[M].Cambridge:Cambridge University, 2000:37-48
    [5] Eldar Y C, Oppenhein A V.Quantum signal processing[J].IEEE Trans on Signal Processing, 2002, 19 (6):12-32
    [6] Tseng C C, Tsung M.Quantum digital image processing algorithms[C]//16th IPPR Conference on Computer Vision, Graphics and Image Processing.Kinmen:ROC, 2003:827-834
    [7] Venegas S E, Ball J L.Processing images in entangled quantum systems[J].Quantum in Process, 2010, 9:1-11
    [8] 谢可夫.量子衍生图像处理方法研究[D].长沙:中南大学信息科学与工程学院, 2007 Xie Kefu.Research on the quantum-inspired method for image processing[D].Changsha:School of Information Science and Engineering, Zhongnan University, 2007 (in Chinese)
    [9] 付晓薇.基于量子力学的图像处理方法研究[D].武汉:华中科技大学生命科学与技术学院, 2010 Fu Xiaowei.Research on image processing methods based on quantum mechanics[D].Wuhan:School of Life Science and Technolog, Huazhong University of Science and Technology, 2010 (in Chinese)
    [10] Tukey J W.Exploratory data analysis[M].New Jersey:Addison-Wesley, 1971:69-88
    [11] Fotios K P, Vassilios A M, Vassilios C.Quantum-dot cellular automata design for median filtering and mathematical morphology operations on binary images[C]//10th International Conference Cellular Automata for Research and Industry.ACRI, Santorini Island:Springer, 2012:554-564
    [12] Ledee R, Leconge R, Harba R.A new adaptive switching median filter[J].Signal Processing Letters, IEEE, 2010, 17 (6):587-590
    [13] 丁亚军, 谢可夫.改进型中值滤波和形态学组合降噪方法[J].计算机与现代化, 2007, 2:41-43 Ding Yajun, Xie Kefu.Denosing method based on compound of improved median filtering and morphology[J].Journal of Computer and Modernization, 2007, 2:41-43 (in Chinese)
    [14] Gonzalez R C, Wood R E, Eddins S L.Digital image processing using MATLAB[M].2nd ed.India:Pearson Education, 2004:164-165
    [15] 王明佳, 张旭光, 韩广良, 等.自适应权值滤波消除图像椒盐噪声的方法[J].光学精密工程, 2007, 15:779-783 Wang Mingjia, Zhang Xuguang, Han Guangliang, et al.Elimination of impulse noise by auto-adapted weight filter[J].Optics and Precision Engineering, 2007, 15:779-783 (in Chinese)
  • 加载中
计量
  • 文章访问数:  973
  • HTML全文浏览量:  18
  • PDF下载量:  571
  • 被引次数: 0
出版历程
  • 收稿日期:  2013-01-28
  • 刊出日期:  2013-11-30

目录

    /

    返回文章
    返回
    常见问答