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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

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