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Volume 19 Issue 4
 
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Article Navigation >  Journal of Unmanned Undersea Systems  > 2011  >  19(4): 312-317
ZHOU Li-jia, QIAN Zhi-bo, XU Guan-lei. A Signal Sparse Representation and Its Application to Image Enhancement for Meteorological Facsimile Maps[J]. Journal of Unmanned Undersea Systems, 2011, 19(4): 312-317. doi: 10.11993/j.issn.1673-1948.2011.04.017
Citation: ZHOU Li-jia, QIAN Zhi-bo, XU Guan-lei. A Signal Sparse Representation and Its Application to Image Enhancement for Meteorological Facsimile Maps[J]. Journal of Unmanned Undersea Systems, 2011, 19(4): 312-317. doi: 10.11993/j.issn.1673-1948.2011.04.017
shu

A Signal Sparse Representation and Its Application to Image Enhancement for Meteorological Facsimile Maps

doi: 10.11993/j.issn.1673-1948.2011.04.017
  • 1.

    College of Marine Engineering, Northwestern Ploytechnical University, Xi’an 710072, China

  • 2.

    Department of Ocean, Dalian Naval Academy, Dalian 116018, China

  • Received Date: 2011-07-13
  • Rev Recd Date: 2011-07-20
  • Publish Date: 2011-08-31
    Abstract
  • In the process of torpedo run test or operational application of a naval vessel, we need a hydrometeorological support based on received meteorological facsimile maps, thus legible meteorological facsimile maps is necessary. A new noise removal algorithm for meteorological facsimile maps with zero-mean Gaussian noise is proposed in this paper based on signal sparse representation. This algorithm makes full use of self features of meteorological facsimile maps, takes meteorological facsimile base maps as dictionary functions, and decomposes these meteorological facsimile maps via the dictionary functions and matching pursuit to separate the information and noise. Experimental results show the superiority in performance over the existing methods for meteorological facsimile map enhancement.

     

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