计算机应用 ›› 2014, Vol. 34 ›› Issue (4): 1177-1181.DOI: 10.11772/j.issn.1001-9081.2014.04.1177

• 虚拟现实与数字媒体 • 上一篇    下一篇

基于边缘模糊频谱特征的散焦参数估计方法

梁敏1,2,朱虹2   

  1. 1. 山西财经大学 信息管理学院,太原 030031
    2. 西安理工大学 自动化与信息工程学院,西安 710048;
  • 收稿日期:2013-09-29 修回日期:2013-10-31 出版日期:2014-04-01 发布日期:2014-04-29
  • 通讯作者: 梁敏
  • 作者简介:梁敏(1979-),女,山西忻州人,讲师,博士研究生,主要研究方向:图像处理、计算机图形学;
    朱虹(1963-),女,浙江嘉兴人,教授,博士生导师,博士,主要研究方向:模式识别、数字图像处理。
  • 基金资助:

    国家国际科技合作专项资助项目;山西省自然科学基金资助项目

Defocus blur parameter estimation method based on blur spectrum characteristic of image edge

LIANG Min1,2,ZHU Hong1   

  1. 1. Faculty of Automation and Information Engineering, Xi'an University of Technology, Xi'an Shaanxi 710048, China
    2. School of Information Management, Shanxi University of Finance and Economics, Taiyuan Shanxi 030031, China
  • Received:2013-09-29 Revised:2013-10-31 Online:2014-04-01 Published:2014-04-29
  • Contact: LIANG Min

摘要:

退化图像复原的关键在于点扩散函数(PSF)的准确估计,针对散焦模糊图像点扩散函数参数未知的情况,提出一种基于图像边缘模糊频谱特征的参数估计方法。首先分析基本边缘经模糊退化后的频谱特征,进而构建了自然图像的边缘模型作为参考图像,通过在连续的散焦值范围内计算与待测模糊图像频谱的最大相似性,以获取散焦参数估计值。实验结果表明,所提方法能够适用于大尺度模糊图像的参数估计问题,且具有较强的抗噪性能。

Abstract:

The accurate estimation of the Point Spread Function (PSF) is the key point in image restoration. For the unknown PSF parameter of defocus blur, an estimation method was proposed based on blur spectrum characteristic of image edge. Specifically, the blur spectrum feature of basic edge was analyzed, and then the edge model of natural image was treated as reference image. Furthermore, the max spectrum similarity was analyzed to obtain the right parameter between the image to be restored and the blurred reference image with defocus parameter in a continuous range. The experimental results show that the proposed algorithm suits large scale defocus blur images and has strong anti-noise ability.

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