计算机应用 ›› 2012, Vol. 32 ›› Issue (02): 496-498.DOI: 10.3724/SP.J.1087.2012.00496

• 图形图像技术 • 上一篇    下一篇

模糊图像点扩散函数的亚像素精度离散化方法

梁敏1,2,朱虹2,欧阳光振2,刘薇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:2011-07-15 修回日期:2011-09-26 发布日期:2012-02-23 出版日期:2012-02-01
  • 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:图像处理、模式识别;
    欧阳光振(1987-),男,湖北天门人,硕士研究生,主要研究方向:图像处理;
    刘薇(1982-),女,陕西西安人,博士研究生,主要研究方向:图像处理。
  • 基金资助:
    山西省自然科学基金资助项目(2010011022-1)

Sub-pixel discrete method of point spread function from blurred images

LIANG Min1,2,ZHU Hong1,OUYANG Guang-zheng1,LIU Wei1   

  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:2011-07-15 Revised:2011-09-26 Online:2012-02-23 Published:2012-02-01
  • Contact: LIANG Min

摘要: 快速准确的点扩散函数(PSF)估计方法,是获取良好模糊图像复原效果的前提。针对散焦模糊和匀速运动模糊的PSF在以往离散化实现过程中的近似误差问题,提出一种结合退化模型几何性质和亚像素估计的离散化方法,定义了近邻像素点的距离相关权值分配原则,并以此进行亚像素精度的估计,从而实现了PSF的离散化。实验结果表明该方法的估计精度有很明显的提高,并在主观视觉质量和客观图像清晰度评价函数、峰值信噪比(PSNR)、改善信噪比(ISNR)方面均优于传统方法。

关键词: 点扩散函数, 散焦模糊, 运动模糊, 图像复原, 亚像素, 离散化

Abstract: Fast and accurate Point Spread Function (PSF) estimation method is the premise to obtain good results on the blur image restoration. To solve the deficiency of the discrete PSF of defocus-blurred and motion-blurred images, a discretization method was proposed based on the combination of geometric property of degradation model and sub-pixel estimation. Specifically, the principle of weight allocation was defined, which was related to the distance with the neighboring pixels. Thus, the discretization of PSF was realized. Finally, the experimental results illustrate that the proposed method improves result precision and outperforms the traditional one on visual quality, sharpness evaluation function, Peak Signal-to-Noise Ratio (PSNR) and Improved Signal-to-Noise Ratio (ISNR).

Key words: Point Spread Function (PSF), defocus blur, motion blur, image restoration, sub-pixel, discretization

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