• DocumentCode
    2880884
  • Title

    Research on Progressive Coding of Remote Image Based on Region of Interest

  • Author

    Deng Shujun ; Qian Haizhong ; Sun Bing

  • Author_Institution
    Inst. of Surveying & Mapping, Inf. Eng. Univ., Zhengzhou, China
  • fYear
    2012
  • fDate
    1-3 June 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In application of remote image, users often specially focus on some areas named region of interest and hope data in these areas to be coded and transmitted preferentially. Progressive coding technology based on ROI can meet the demand of users very well. This paper firstly analyzes some deficiency of traditional ROI coding methods, then put forward a novel progressive coding method based on ROI. The core idea of this method is that, on the basis of regular wavelet subband, separate high frequency subband into high frequency ROI subband and high frequency BG subband and rearrange transformed wavelet subbands, then realize progressive coding from low frequency subband, high frequency ROI subband to high frequency BG subband. Experiment shows the method advanced in this paper is effective and superior.
  • Keywords
    geophysical image processing; image coding; remote sensing; ROI coding methods; high frequency ROI subband; progressive coding; region of interest; regular wavelet subband; remote sensing image; Bit rate; Decoding; Encoding; Image coding; Image reconstruction; Wavelet coefficients;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0872-4
  • Type

    conf

  • DOI
    10.1109/RSETE.2012.6260700
  • Filename
    6260700