• DocumentCode
    480963
  • Title

    Evaluation of lossless image compression algorithms for CFA data

  • Author

    Schaefer, Gerald ; Nowosielski, Rafal ; Starosolski, Roman

  • Author_Institution
    Sch. of Eng., Aston Univ., Birmingham
  • Volume
    1
  • fYear
    2008
  • fDate
    10-12 Sept. 2008
  • Firstpage
    57
  • Lastpage
    60
  • Abstract
    The CCD sensors of a digital camera are arranged in a colour filter array fashion where each element records only one colour. While the majority of images captured with digital cameras are recorded in JPEG format, preserving the raw image data becomes more and more important. Typically each manufacturer uses their own proprietary raw image format and usually no compression is applied. In this paper we investigate what savings in terms of storage space can be gained by applying lossless compression to the raw colour filter array data. Based on an image set of 200+ images we evaluate eight different compression algorithms in terms of compression efficacy and compression speed. The results show that JPEG-LS seems to be best suited to be employed in digital cameras offering good compression ratios coupled with high speed.
  • Keywords
    CCD image sensors; cameras; data compression; image coding; image colour analysis; optical filters; CCD sensors; CFA data; JPEG format; colour filter array; digital camera; lossless image compression algorithms; Charge coupled devices; Charge-coupled image sensors; Compression algorithms; Digital cameras; Digital filters; Image coding; Image resolution; Image storage; Sensor arrays; Transform coding; Bayer pattern; CFA data; image compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ELMAR, 2008. 50th International Symposium
  • Conference_Location
    Zadar
  • ISSN
    1334-2630
  • Print_ISBN
    978-1-4244-3364-3
  • Type

    conf

  • Filename
    4747437