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作者:

Wang, Suyu (Wang, Suyu.) | Shen, Lansun (Shen, Lansun.) | David, Daganfeng (David, Daganfeng.) | Li, Xiaoguang (Li, Xiaoguang.)

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摘要:

Construction of high resolution images from low resolution sequences having rigid or semi-rigid objects with unified motions is often important in surveillance and other applications. In this paper a novel object-based super resolution reconstruction scheme was proposed, in which a six-parameter affine model-based object tracking and registration method was first used to segment and match objects among a sequence of low resolution frames. The motion model was then further extended to the traditional maximum a posterior (MAP) super resolution algorithm. The proposed object tracking and registration method was evaluated by both simulated and real acquired sequences. The results have demonstrated the high accuracy of the proposed object based method and the enhanced reconstruction performance of the extended approach.

关键词:

Algorithms Image matching Image reconstruction Image registration Image resolution Image segmentation Motion estimation Video signal processing Visual communication

作者机构:

  • [ 1 ] [Wang, Suyu]Signal and Information Processing Lab., Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Wang, Suyu]College of Electronic and Information Engineering, Hebei University, Baoding 071002, China
  • [ 3 ] [Shen, Lansun]Signal and Information Processing Lab., Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [David, Daganfeng]Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong, Hong Kong
  • [ 5 ] [David, Daganfeng]School of Information Technologies, University of Sydney, NSW 2006, Australia
  • [ 6 ] [Li, Xiaoguang]Signal and Information Processing Lab., Beijing University of Technology, Beijing 100124, China

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来源 :

High Technology Letters

ISSN: 1006-6748

年份: 2008

期: 2

卷: 14

页码: 123-128

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WoS核心集被引频次: 0

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