• DocumentCode
    1096144
  • Title

    The application of two-dimensional finite-precision IIR filters to enhanced NTSC coding

  • Author

    Konrad, Janusz ; Radecki, Jan ; Dubois, Eric

  • Author_Institution
    INRS Telecommun., Verdun, Que., Canada
  • Volume
    6
  • Issue
    4
  • fYear
    1996
  • fDate
    8/1/1996 12:00:00 AM
  • Firstpage
    355
  • Lastpage
    374
  • Abstract
    The goal of this paper is to study the application of two-dimensional (2-D) finite-precision infinite impulse response (IIR) filters to enhanced National Television System Committee (NTSC) coding. It is well-known that suitable twoor three-dimensional (3-D) digital filtering greatly improves the quality of NTSC pictures by suppressing the interference between the luminance Y and the chrominances I, Q. Thus far, 2-D and 3-D finite impulse response (FIR) filters have been used to reduce or eliminate these cross effects. To achieve good performance, however, they require many coefficients. Since, in general, IIR filters need fewer coefficients to approximate a given magnitude response, we investigate the possibility of applying 2-D IIR filters to the NTSC encoding/decoding. We also study the feasibility of using digital filters for NTSC channel filtering; this would permit a digital-only encoder. To design suitable filters, we use a method based on multiple constraint optimization and simulated annealing. We propose a new implementation structure for the IIR filters that differs from the zero-phase FIR structure. We simulate the full NTSC coding chain and compare the resulting images for both filter types
  • Keywords
    IIR filters; circuit optimisation; filtering theory; interference suppression; simulated annealing; two-dimensional digital filters; video coding; 2D finite-precision IIR filters; NTSC channel filtering; NTSC coding; NTSC encoding/decoding; National Television System Committee; chrominance; digital filtering; digital-only encoder; filter coefficients; infinite impulse response filters; interference suppression; luminance; magnitude response approximation; multiple constraint optimization; simulated annealing; Constraint optimization; Decoding; Digital filters; Filtering; Finite impulse response filter; IIR filters; Interference elimination; Interference suppression; TV; Two dimensional displays;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/76.510929
  • Filename
    510929