Fast Global Motion Estimation via Modified ILSE Method

نویسندگان

  • Jia Wang
  • Hanqing Lu
  • Qingshan Liu
چکیده

This paper presents a Modified ILSE technique for global motion estimation where Gradient Thresholding (GT) is used to analyze and preprocess the image blocks before motion estimation. By means of GT, treacherous blocks that are more likely to produce inaccurate motion estimations are identified at the beginning and discarded from the following process. So, the computational cost is reduced to a great extent comparing to the traditional method. Furthermore, a method for the selection of threshold is also presented which adapt the threshold to different types of images. The presented method has been tested on a variety of image sequences, and experimental results illustrate its promising performance.

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تاریخ انتشار 2005