• DocumentCode
    1244957
  • Title

    Subband finite state scalar quantization

  • Author

    Naveen, T. ; Woods, John W.

  • Author_Institution
    Center for Image Process. Res., Rensselaer Polytech. Inst., Troy, NY, USA
  • Volume
    5
  • Issue
    1
  • fYear
    1996
  • fDate
    1/1/1996 12:00:00 AM
  • Firstpage
    150
  • Lastpage
    155
  • Abstract
    A new image-coding algorithm that exploits the relationship between various subbands of an image is presented in this correspondence. Using local variance for state selection and uniform threshold quantizers on subbands, we have achieved a reduction in quantization noise compared to other published techniques for Lena at various bit rates
  • Keywords
    image coding; noise; quantisation (signal); HD video; image-coding algorithm; local variance; quantization noise reduction; state selection; still image; subband finite state scalar quantization; uniform threshold quantizers; Computer architecture; Frequency; Graphics; Image coding; Image processing; Memory management; Performance gain; Pixel; Quantization; Tiles;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.481680
  • Filename
    481680
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1244957