• DocumentCode
    3642949
  • Title

    Survey of image compression algorithms for ESMO mission

  • Author

    Miha Gostenčnik;Dejan Gačnik;Iztok Kramberger

  • Author_Institution
    University of Maribor, Faculty of Electrical Engineering and Computer Science, Maribor, Slovenia
  • fYear
    2011
  • fDate
    6/1/2011 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper we present a general evaluation of image compression algorithms for European Student Moon Orbiter mission for acquiring lunar surface imagery. Evaluations were made on ten different images, processed into various image formats and later reviewed with several objective measurements. As a comparison Set-Partitioning in Hierarchical Trees (SPIHT) algorithm and Discrete Cosine Transform (DCT) algorithm were also evaluated.
  • Keywords
    "Image coding","Transform coding","Discrete cosine transforms","Moon","Image quality","PSNR","Distortion measurement"
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Image Processing (IWSSIP), 2011 18th International Conference on
  • ISSN
    2157-8672
  • Print_ISBN
    978-1-4577-0074-3
  • Electronic_ISBN
    2157-8702
  • Type

    conf

  • Filename
    5977347
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3642949