• DocumentCode
    534994
  • Title

    The research of a new auto target recognition directed image compression

  • Author

    Song, Yanxing ; Yuan, Feng

  • Author_Institution
    Dept. of Disaster Prevention Instrum., Inst. of Disaster Prevention, Sanhe, China
  • Volume
    1
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    224
  • Lastpage
    228
  • Abstract
    An improving auto target recognition directed (IATR-Directed) image compression algorithm based on the traditional auto target recognition directed (ATR-Directed) image compression was presented. The algorithm decomposed an image by morphology Haar wavelet, then used morphological region of interest (ROI) detection operator to find the targets ROI, by which partitioned the low-frequency morphological wavelet coefficients into three coding map, at last, chose the adaptive arithmetic coding method to code different coding map. Extensive experiments has shown that IATR-Directed image compression could compress the image with simple operations, and can save the information of the targets effectively, and it is very competitive compared with other methods.
  • Keywords
    data compression; image coding; image recognition; target tracking; wavelet transforms; auto target recognition; image compression; morphology Haar wavelet; region of interest detection; Encoding; Entropy; Image coding; Morphology; PSNR; Pixel; Signal processing algorithms; ATR-Directed; image coding; morphology Haar wavelet; region of interest;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5646343
  • Filename
    5646343