• DocumentCode
    391725
  • Title

    Region of interest coding for image compression

  • Author

    Long, Men ; Tai, Heng-Ming

  • Author_Institution
    Dept. of Electr. Eng., Tulsa Univ., OK, USA
  • Volume
    2
  • fYear
    2002
  • fDate
    4-7 Aug. 2002
  • Abstract
    This paper presents a new method for region of interest (ROI) coding based on the embedded block coding with optimized truncation (EBCOT) paradigm. The proposed method reduces the priority of the less important region or background of an image, allowing the user to quickly view the ROI with higher quality without receiving the entire image. Thus, it substantially saves the transmission time, storage space, and computational cost of image compression. The unique characteristics of the new method lie in the combination of good ROI compression performance and low algorithm complexity. Experimental results indicate that the proposed method significantly outperforms the previous ROI coding schemes in overall ROI coding performance.
  • Keywords
    computational complexity; data compression; image coding; ROI compression performance; background priority adjustment; embedded block coding; image compression; optimized truncation paradigm; region of interest coding; Block codes; Computational efficiency; Decoding; Educational technology; Image coding; Image reconstruction; Image storage; Laboratories; Optimization methods; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2002. MWSCAS-2002. The 2002 45th Midwest Symposium on
  • Print_ISBN
    0-7803-7523-8
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2002.1186825
  • Filename
    1186825