J4 ›› 2014, Vol. 36 ›› Issue (10): 2002-2008.
• 论文 • 上一篇 下一篇
廖宇,郭黎
收稿日期:
修回日期:
出版日期:
发布日期:
基金资助:
国家自然科学基金资助项目(61263030);湖北省教育厅科学研究项目(Q20111907);湖北省科技厅自然科学基金资助项目(2012FFC02601)
LIAO Yu,GUO Li
Received:
Revised:
Online:
Published:
摘要:
在摄取图像的过程中,物体间的高速运动及景物与成像设备的相对运动是引发图像退化的主要原因之一,称之为运动模糊。模糊长度和模糊方向是运动模糊中影响图像模糊程度的主要参数。提出了一种改进的误差参数分析方法,对模糊长度进行估计并比较了不同的复原方法对参数误差曲线法估计的效果,同时提出运用傅里叶分解和Hough变换从模糊图像的频谱特性上对运动模糊方向进行了估计。实验结果表明,所提出的方法对运动模糊图像的复原有良好的效果。
关键词: 运动模糊, 模糊长度, 模糊方向, 误差参数曲线, 频谱特性, Hough变换
Abstract:
The fast movements of objects and the relative movements between the objects and a camera during the process of image acquisition is one of the main reasons that cause the degradation of images, which is known as motion blur.The blur length and the blur direction are main factors affecting the blur.A novel error parameter estimation method is proposed to identify the blur length and the impact of different restoration methods on the results are compared.Fourier decomposition and Hough transform are adopted to estimate the motion blur direction from the spectrum properties of a blurred image.Experiments validate the good effectiveness of our method.
Key words: motion blur;blur length;blur direction;error parameter curve;spectrum properties;Hough transform
廖宇,郭黎. 一种运动模糊图像的模糊参数估计方法[J]. J4, 2014, 36(10): 2002-2008.
LIAO Yu,GUO Li. A novel blur parameter estimation method for blurred images[J]. J4, 2014, 36(10): 2002-2008.
0 / / 推荐
导出引用管理器 EndNote|Ris|BibTeX
链接本文: http://joces.nudt.edu.cn/CN/
http://joces.nudt.edu.cn/CN/Y2014/V36/I10/2002