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计算机工程 ›› 2011, Vol. 37 ›› Issue (11): 225-227. doi: 10.3969/j.issn.1000-3428.2011.11.078

• 图形图像处理 • 上一篇    下一篇

基于边缘检测的超分辨率重构方法

蔡秋荣,刘 蓉,王美清   

  1. (福州大学数学与计算机科学学院,福州 350108)
  • 收稿日期:2010-10-20 出版日期:2011-06-05 发布日期:2011-06-05
  • 作者简介:蔡秋荣(1986-),男,硕士研究生,主研方向:数字图像处理;刘 蓉,讲师;王美清,教授
  • 基金资助:
    国家自然科学基金资助项目(10771036);福建省科技创新平台计划基金资助项目(2009J1007)

Super-resolution Reconstruction Method Based on Edge Detection

CAI Qiu-rong, LIU Rong, WANG Mei-qing   

  1. (College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China)
  • Received:2010-10-20 Online:2011-06-05 Published:2011-06-05

摘要: 采用凸集投影法重构的高分辨率图像中常出现边缘质量下降的现象。针对该问题,提出一种超分辨率重构方法,引入傅里叶变换配准方法解决图像获取过程中的位移偏差,通过Laplace算子进行边缘检测以消除边缘震荡。实验结果证明,采用基于边缘检测的超分辨率重构方法能获取质量较高的图像。

关键词: 配准, 边缘振荡, 点扩散函数, 傅里叶变换

Abstract: High-resolution image using Projections Onto Convex Sets(POCS) method often appears the phenomenon of decline in the quality edge. To solve this problem, this paper proposes a super-resolution reconstruction method, introduces Fourier transform method to solve the image registration process to obtain the displacement error, uses Laplace edge detection operator to remove the edge of the shock. Experimental results show that super-resolution reconstruction method based on edge detection can obtain high quality images.

Key words: registration, edge oscillation, Point Spread Function(PSF), Fourier transform

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