• DocumentCode
    3491590
  • Title

    Quality evaluation of progressive lossy-to-lossless remote-sensing image coding

  • Author

    Blanes, Ian ; Serra-Sagrista, J.

  • Author_Institution
    Dept. of Inf. & Commun. Eng., Univ. Autonoma de Barcelona, Barcelona, Spain
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    3709
  • Lastpage
    3712
  • Abstract
    Progressive lossy-to-lossless methods for hyper-spectral image coding are becoming common in remote-sensing. However, as remote-sensing imagery is sometimes fed directly into an automated process, there are several alternative distortion measures directed to quantify the image quality with regard to how this process will perform. In this scenario, we investigate the quality evolution in the lossy regime of progressive lossy-to-lossless and perform a detailed evaluation.
  • Keywords
    image coding; remote sensing; hyper-spectral image coding; image quality; progressive lossy-to-lossless methods; quality evaluation; remote-sensing image coding; Bit rate; Data mining; Distortion measurement; Encoding; Image coding; Image quality; Performance evaluation; Phase locked loops; Remote sensing; Wavelet transforms; Hyper-spectral image coding; multicomponent JPEG2000; progressive lossy-to-lossless; quality evaluation; remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5414283
  • Filename
    5414283