• DocumentCode
    1646892
  • Title

    Adaptive color image compression based on visual attention

  • Author

    Ouerhani, Nabil ; Bracamonte, Javier ; Hügli, Heinz ; Ansorge, Michael ; Pellandini, Fausto

  • Author_Institution
    Inst. of Microtechnol., Neuchatel Univ., Switzerland
  • fYear
    2001
  • Firstpage
    416
  • Lastpage
    421
  • Abstract
    This paper reports an adaptive still color image compression method which produces automatically selected ROI with a higher reconstruction quality with respect to the rest of the input image. The ROI are generated on-the fly with a purely data-driven technique based on visual attention. Inspired from biological vision, the multicue visual attention algorithm detects the most visually salient regions of an image. Thus, when operating in systems with low bit rate constraints, the adaptive coding scheme favors the allocation of a higher number of bits to those image regions that are more conspicuous to the human visual system. The compressed image files produced by this adaptive method are fully compatible with the JPEG standard, which favors their widespread utilization
  • Keywords
    adaptive codes; data compression; image coding; image colour analysis; image reconstruction; image segmentation; visual perception; JPEG standard; adaptive coding; automatically selected ROI; bit allocation; color image compression; data-driven technique; human visual system; multicue visual attention algorithm; reconstruction quality; still color image; visually salient regions; Adaptive coding; Biological system modeling; Color; Computational modeling; Feature extraction; Humans; Image coding; Image reconstruction; Layout; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Processing, 2001. Proceedings. 11th International Conference on
  • Conference_Location
    Palermo
  • Print_ISBN
    0-7695-1183-X
  • Type

    conf

  • DOI
    10.1109/ICIAP.2001.957045
  • Filename
    957045