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2 June 2012 Reconstruction algorithm of infrared video image based on compressed sensing
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Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 833418 (2012) https://doi.org/10.1117/12.946580
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia
Abstract
Compressed sensing is a novel signal sampling theory emerging recently. It is a theory that signals could be sampled far below the Nyquist sampling rate. This paper introduces compressed sensing theory into the application of infrared video, proposes a new residual reconstruction algorithm, and establishes a new infrared video codec model with random Gaussian matrix as the measurement matrix and with orthogonal matching pursuit algorithm as the reconstruction method. On the platform of Matlab, this paper performs the reconstruction of infrared video frames. The simulation results verify that the proposed algorithm can provide a good visual quality and speed up evidently by comparison with conventional algorithm.
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Qing Xu, Lijun Yun, and Junsheng Shi "Reconstruction algorithm of infrared video image based on compressed sensing", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 833418 (2 June 2012); https://doi.org/10.1117/12.946580
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