• DocumentCode
    915360
  • Title

    A Simple Method to Build Oversampled Filter Banks and Tight Frames

  • Author

    Yang, Bo ; Jing, Zhongliang

  • Author_Institution
    Shanghai Jiaotong Univ., Shanghai
  • Volume
    16
  • Issue
    11
  • fYear
    2007
  • Firstpage
    2682
  • Lastpage
    2687
  • Abstract
    This paper presents conditions under which the sampling lattice for a filter bank can be replaced without loss of perfect reconstruction. This is the generalization of common knowledge that removing up/downsampling will not lose perfect reconstruction. The results provide a simple way of building over- sampled filter banks. If the original filter banks are orthogonal, these oversampled banks construct tight frames of l2(Z n) when iterated. As an example, a quincunx lattice is used to replace the rectangular one of the standard wavelet transform. This replacement leads to a tight frame that has a higher sampling in both time and frequency. The frame transform is nearly shift invariant and has intermediate scales. An application of the transform to image fusion is also presented.
  • Keywords
    filtering theory; image fusion; image reconstruction; image sampling; wavelet transforms; frame transform; image fusion; oversampled filter banks; quincunx lattice; sampling lattice; tight frames; wavelet transform; Discrete transforms; Discrete wavelet transforms; Filter bank; Image reconstruction; Image sampling; Lattices; Multidimensional systems; Sampling methods; Vectors; Wavelet transforms; Filter bank; frame; shift invariant; wavelet transform; Algorithms; Computer-Aided Design; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Reproducibility of Results; Sample Size; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Software; Software Design;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2007.908077
  • Filename
    4337774