• DocumentCode
    1407893
  • Title

    Boundary Operation of 2-D Nonseparable Linear-Phase Paraunitary Filter Banks

  • Author

    Muramatsu, Shigeki ; Kobayashi, Takehiko ; Hiki, M. ; Kikuchi, Hiroaki

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Niigata Univ., Niigata, Japan
  • Volume
    21
  • Issue
    4
  • fYear
    2012
  • fDate
    4/1/2012 12:00:00 AM
  • Firstpage
    2314
  • Lastpage
    2318
  • Abstract
    This paper proposes a boundary operation technique of 2-D nonseparable linear-phase paraunitary filter banks (NS-LPPUFBs) for size limitation. The proposed technique is based on a lattice structure consisting of the 2-D separable block discrete cosine transform and nonseparable support-extension processes. The bases are allowed to be anisotropic with the fixed critically subsampling, overlapping, orthogonal, symmetric, real-valued, and compact-support properties. First, the blockwise implementation is developed so that the basis images can be locally controlled. The local control of basis images is shown to maintain orthogonality. This property leads a basis termination (BT) technique as a boundary operation. The technique overcomes the drawback of NS-LPPUFBs that the popular symmetric extension method is invalid. Through some experimental results of diagonal texture coding, the significance of the BT is verified.
  • Keywords
    channel bank filters; discrete cosine transforms; image coding; image sampling; 2D nonseparable linear-phase paraunitary filter banks; 2D separable block discrete cosine transform; BT technique; NS-LPPUFB; basis termination technique; boundary operation technique; compact-support properties; diagonal texture coding; nonseparable support-extension processes; Delay; Educational institutions; Image coding; Lattices; Symmetric matrices; Transforms; Vectors; 2-D discrete wavelet transform; Directional lapped orthogonal transform (DirLOT); image coding; multidimensional filter banks; size-limitation; Algorithms; Computer Simulation; Image Enhancement; Image Interpretation, Computer-Assisted; Linear Models; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2011.2181527
  • Filename
    6112224