计算机工程与应用 ›› 2015, Vol. 51 ›› Issue (21): 191-194.

• 图形图像处理 • 上一篇    下一篇

基于量子理论的自适应图像融合规则

付  游 1,许悟生2,谢可夫3   

  1. 1.湖南师范大学 物理与信息学院,长沙 410081
    2.武警福州指挥学院 教研部,福州 350000
    3.湖南师范大学 计算机教学部,长沙 410081
  • 出版日期:2015-11-01 发布日期:2015-11-16

Adaptive image fusion rule based on quantum theory

FU You1, XU Wusheng2, XIE Kefu3   

  1. 1.College of Physics and Information Science, Hunan Normal University, Changsha 410081, China
    2.Teaching and Research Department, Fuzhou Armed Police Command College, Fuzhou 350000, China
    3.Computer Education Department, Hunan Normal University, Changsha 410081, China
  • Online:2015-11-01 Published:2015-11-16

摘要: 利用图像的伪量子比特关联形式及其相应坍缩模型进行图像的多层次分析,并在此理论基础上,针对两幅已经配准的不同类型图像(如CT,MRI图像等)提出了一种全新的自适应融合规则及其逆变换算法,从而实现了图像的高效融合。仿真实验结果表明,此方法较一般的基于灰度极值融合法、灰度加权融合法以及区域能量融合法具有更好的融合视觉效果,在细节保护、图像边缘区分方面对比小波融合法有其独特的优势。

关键词: 数字图像处理, 图像融合规则, 量子图像

Abstract: Utilizing pseudo quantum bit correlation form of images and their corresponding collapse model of multi-level image analysis, according to two different types of images which have been registered, this paper proposes a brand-new self-adaption fusing rules and inverse-transformation algorithm, which realizes image effective fusion. It shows that, this method has better fusion visual effect than the mesures such as gray extremum fusion, gray weighted fusion and area energy fusion, and a triff detail protecting and edge distinguish than wavelet fusion.

Key words: digital image processing, image fusion rule, quantum image