• DocumentCode
    290189
  • Title

    A study of convex coders with an application to image coding

  • Author

    Asai, Kohtaro ; Thao, Nguyen T. ; Vetterli, Martin

  • Author_Institution
    Mitsubishi Electr. Corp., Japan
  • Volume
    v
  • fYear
    1994
  • fDate
    19-22 Apr 1994
  • Abstract
    The concept of convex coding systems is presented together with an application to image coding. A convex coder gives the exact description of a convex set or a group of convex sets in which the input signal is located. The reconstruction is left to the decoder whose role is to pick an estimate in the intersection of these sets. Alternating projections can be used to obtain such estimates which geometrically lie in the intersection of the sets. Convex coding enables us to supplement a criterion of “pleasingness” to the current MSE-oriented criterion. This may be useful for very high compression ratio. An example of convex coding which utilizes the conventional DCT coder as one set is demonstrated and the result shows that the blocking artifacts are efficiently removed
  • Keywords
    coding errors; discrete cosine transforms; error statistics; image coding; image reconstruction; set theory; DCT coder; blocking artifacts removal; convex coders; convex coding systems; convex sets; image coding; image reconstruction; input signal; very high compression ratio; Application software; Computer science; Decoding; Discrete cosine transforms; Encoding; Humans; Image coding; Image reconstruction; Image restoration; Quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
  • Conference_Location
    Adelaide, SA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-1775-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1994.389445
  • Filename
    389445