计算机与现代化

• 图像处理 • 上一篇    下一篇

基于运动检测的图像去模糊算法

吴 庆,肖 力,孙志刚   

  1. 华中科技大学自动化学院信息所,湖北武汉430074
  • 收稿日期:2013-07-19 修回日期:1900-01-01 出版日期:2013-12-18 发布日期:2013-12-18

Image Deblurring Algorithm Based on Motion Detection

WU Qing, XIAO Li, SUN Zhi-gang   

  1. Institute for Information, School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China
  • Received:2013-07-19 Revised:1900-01-01 Online:2013-12-18 Published:2013-12-18

摘要: 针对相机曝光期间,由于相机和被拍摄物体之间存在相对运动而产生的图像模糊的问题,提出一种基于运动检测的图像去模糊算法。本算法根据相机成像的数学模型,推导出模糊核的参数(长度和方向)与相对运动之间的定量关系,通过维纳滤波对图像进行滤波去模糊。通过实验,可以观察到滤波过后的图像在细节上更加清晰,表明本方法能够一定程度上地去除模糊。

关键词: 图像去模糊, 运动检测, 维纳滤波

Abstract: For the problem of motion-blur caused by the relative motion between the camera and the object during the camera exposure, an image deblurring algorithm based on motion detection is proposed. Based on the mathematics model of camera imaging, the relationship between the blur kernel (length and direction) and relative motion is derived, and by making use of Wiener filter, a sharp result can be available. From the results, the image after filtering becomes much sharper in details, proving that this method makes a certain effect on the blurred image.

Key words: image deblur, motion detection, Wiener filter