• DocumentCode
    161987
  • Title

    An efficient digital image compression scheme based on ICA for underwater color images

  • Author

    Jing Wang ; Bo He ; Shujing Zhang ; Rui Nian ; Yue Shen ; Tianhong Yan

  • Author_Institution
    Dept. of Electron. Eng., Ocean Univ. of China, Qingdao, China
  • fYear
    2014
  • fDate
    7-10 April 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    As one of the dominant techniques for sensing the underwater environments, underwater vision has shown great prospects in ocean investigations and explorations over the last decades. The vision system is usually installed on the platforms of autonomous underwater vehicles (AUVs). Due to the limitation of transmission and storage for underwater signals, it is extremely urgent to explore an efficient digital image compression approach for underwater color images. In this paper, an efficient digital image compression scheme based on independent component analysis (ICA) is proposed to deal with the redundancy reduction problem for underwater color images, taking account of the acceptable perceptual quality of reconstructed images.
  • Keywords
    autonomous underwater vehicles; data compression; image coding; image colour analysis; image reconstruction; independent component analysis; AUV; ICA; autonomous underwater vehicles; efficient digital image compression scheme; image reconstruction; independent component analysis; ocean investigations; perceptual quality; redundancy reduction problem; underwater color images; underwater environment sensing; underwater signal storage; underwater signal transmission; vision system; Color; Feature extraction; Image coding; Independent component analysis; Principal component analysis; Testing; Training; ICA; color image compression; underwater image transmission;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS 2014 - TAIPEI
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4799-3645-8
  • Type

    conf

  • DOI
    10.1109/OCEANS-TAIPEI.2014.6964368
  • Filename
    6964368