• DocumentCode
    430491
  • Title

    Structurally regular biorthogonal filter banks: theory, designs, and applications

  • Author

    Chen, Ying-Jui ; Oraintara, Soontorn ; Amaratunga, Kevin S.

  • Author_Institution
    Intelligent Eng. Syst. Lab., MIT, Cambridge, MA, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    26-29 Oct. 2004
  • Firstpage
    184
  • Abstract
    The paper studies how regularity of a desired degree can be imposed onto the dyadic-based building blocks of a class of M-channel (M ≥ 2) causal biorthogonal filter banks (BOFBs) having anti-causal inverses, without necessarily constraining the phase responses of the filters. Structural conditions for regularity are derived in terms of the elements of the dyadic-based building blocks, and regular BOFBs are designed accordingly and evaluated using a transform-based image coder. They are found to provide better objective performance and improved perceptual quality of the decompressed images, with reduced blocking artifacts and better preserved texture details.
  • Keywords
    causality; channel bank filters; data compression; filtering theory; image coding; image texture; matrix algebra; transform coding; anticausal inverses; biorthogonal filter banks; blocking artifacts; causal filter banks; decompressed images; dyadic-based building blocks; image compression; phase response; polyphase matrices; preserved texture details; structurally regular filter banks; transform-based image coder; Channel bank filters; Filtering theory; Frequency; Image coding; Image reconstruction; Intelligent systems; Laboratories; Signal synthesis; Systems engineering and theory; Uniform resource locators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technology, 2004. ISCIT 2004. IEEE International Symposium on
  • Print_ISBN
    0-7803-8593-4
  • Type

    conf

  • DOI
    10.1109/ISCIT.2004.1412475
  • Filename
    1412475