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基于量子指针的量子灰度图像处理 被引量：5

Quantum Gray-Scale Image Processing Based on Quantum Pointer
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摘要 为了解决量子灰度图像处理中量子图像的表示问题,利用量子态保存图像的灰度信息和位置信息,依据灰度图像灰度变化范围小的优势,提出并证明了一种量子灰度图像的存储表达式,而且在此表达式的基础上,提出了"量子指针"的概念。把量子指针作为图像像素灰度信息与位置信息联系的纽带,利用其双向性和子块性可使得量子灰度图像在存储及其他操作方面更为简单,方便,最后也验证了它的可行性。 In quantum gray-scale image processing,the storage in quantum states is the color information and the position information. According to the advantage of small range of the gray scale in a gray-scale image,this paper proposes and demonstrated a novel storage expression of quantum gray-scale image. Besides,based on the expression,a new concept of＂quantum pointer＂is put forward. Quantum pointer is the vinculum between the information of gray-scale and position of each pixel in quantum gray-scale images. The paper verifies the feasibility of the proposed quantum pointer and finds it made the storing and other operations of quantum gray-scale image simpler and more convenient with the properties of bi-direction and sub-block.
作者 艾金根 周日贵
机构地区 江西省科技项目服务中心 华东交通大学信息工程学院
出处 《华东交通大学学报》 2013年第3期89-95,100,共8页 Journal of East China Jiaotong University
基金 国家自然科学基金项目(61065002)
关键词 量子图像处理 量子灰度图像 量子指针 量子灰度图像存储 quantum image processing quantum gray-scale image quantum pointer quantum gray-scale image storing
分类号 TP391.41 [自动化与计算机技术—计算机应用技术] TP183 [自动化与计算机技术—控制理论与控制工程]
  • 相关文献

参考文献22

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同被引文献45

  • 1黎松,平西建,丁益洪.开放源代码的计算机视觉类库OpenCv的应用[J].计算机应用与软件,2005,22(8):134-136. 被引量：58
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  • 3Feynman R P.Simulating physics with computers[J].International Journal of Theoretical Physics, 1982,21(6):467-488.
  • 4Le P Q, Dong Fangyan, Hirota K.A flexible representation of quantum images for polynomial preparation, image compression, and processing operations[J].Quantum Information Processing, 2011,10(1):63-84.
  • 5Luengo Hendriks C L, Borgefors G, Strand R.Mathematical Morphology and Its Applications to Signal and Image Processing[C].New York: Springer Press, 2013.
  • 6Najman L, Talbot H.Mathematical Morphology: From Theory to Applications[M].London: Wiley, 2010.
  • 7Sinha D, Dougherty E R.Fuzzy mathematical morphology[J].Journal of Visual Communication and Image Representation, 1992,3(3):286-302.
  • 8Gonzalez R C, Woods R E.Digital Image Processing[M].3rd Edition.New Jersey: Prentice-Hall, 2011.
  • 9Gonzalez RC,Woods RE.Digital image processing[M].3rd ed.New Jersey:Prentice-Hall,2011.
  • 10Soille P.Morphological image analysis:Principles and applications[M].2nd ed.New York:Springer Press,2008.

引证文献5

二级引证文献2

华东交通大学学报
2013年 第3期

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