• DocumentCode
    1833610
  • Title

    Optimal quantization of JPEG2000 baseline compression in RGB space

  • Author

    Ying Liu ; Yimin Zhou ; Guoqing Xu

  • Author_Institution
    ShenZhen Inst. of Adv. Technol., Shenzhen, China
  • fYear
    2012
  • fDate
    11-14 Dec. 2012
  • Firstpage
    348
  • Lastpage
    353
  • Abstract
    In this paper, an optimal compression ratio is discussed based on JPEG2000 baseline compression in RGB space. Human eyes are more sensitive to green color than to red and blue colors. Hence, optimal compression ratios should be adopted during quantization. A novel mathematical model for co-relationship of three color components in RGB is developed. VDR (voyage data recorder) test methods combined with information entropy are used to evaluate the optimal compression ratio, considering the human eye characteristics. Simulation results have proven the effectiveness of the proposed method.
  • Keywords
    data compression; entropy; image coding; image colour analysis; quantisation (signal); JPEG2000 baseline compression; RGB space; VDR test method; compression ratio; human eye characteristics; information entropy; quantization; red-green-blue; voyage data recorder;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2012 IEEE International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4673-2125-9
  • Type

    conf

  • DOI
    10.1109/ROBIO.2012.6490991
  • Filename
    6490991