• DocumentCode
    1874812
  • Title

    Variable compression using JPEG

  • Author

    Chaddha, Navin ; Agrawal, Avneesh ; Gupta, Anoop ; Meng, Teresa H Y

  • Author_Institution
    Comput. Syst. Lab., Stanford Univ., CA, USA
  • fYear
    1994
  • fDate
    15-19 May 1994
  • Firstpage
    562
  • Lastpage
    569
  • Abstract
    To meet various transmission and storage constraints, it is desirable that a compression algorithm allows a range of compression ratios. In this paper we analyze the JPEG compression algorithm, the international standard for compressing continuous tone images, and show how higher compression ratios can be achieved with minimal loss in image quality. We compare three methods to achieve variable compression with JPEG. Through a comprehensive analysis using 8 standard monochrome images from the USC database, we propose a method that offers substantial visual quality advantages for high compression ratios. The comparisons have been made by using an objective distortion measure which corresponds well to subjective assessments of visual quality. The paper provides detailed motivation for the algorithms, and suggests the choice of parameters to obtain variable compression with minimal loss in visual quality
  • Keywords
    data compression; image coding; JPEG compression algorithm; USC database; comprehensive analysis; compression ratios; continuous tone images; image quality; international standard; variable compression; visual quality advantages; Data compression; Image coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Systems, 1994., Proceedings of the International Conference on
  • Conference_Location
    Boston, MA
  • Print_ISBN
    0-8186-5530-5
  • Type

    conf

  • DOI
    10.1109/MMCS.1994.292506
  • Filename
    292506