• DocumentCode
    748755
  • Title

    Automatic assessment of signal-to-thermal noise ratio of television images

  • Author

    Zhang, Qin ; Ward, Rabab

  • Author_Institution
    Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC, Canada
  • Volume
    41
  • Issue
    1
  • fYear
    1995
  • fDate
    2/1/1995 12:00:00 AM
  • Firstpage
    108
  • Lastpage
    117
  • Abstract
    A novel method which measures the thermal noise content in any television picture is presented. Our method has the following advantages (1) it is non-intrusive and does not require the use of a test signal, (2) the noise assessment is carried in the spatial domain and not in the frequency domain, thus the use of the expensive spectrum analyzer instrument is not required. The other proposed non-intrusive and spatial domain methods are limited in their accuracy up to around 40 dB signal-to-noise ratios. Above that the resulting accuracies are unacceptable. Our method yields accurate results up to 48 dB. The new FCC regulations require the operating signals-to-noise ratios to be at least equal to 40 dB. Prior to estimating the noise our method applies a filter on the picture. This filter suppresses the originally intended (non-noisy) contents of the picture but retains enough information about the noise present. From this information, an estimate of the noise present is calculated
  • Keywords
    cable television; electric noise measurement; filtering theory; image processing; television interference; television reception; thermal noise; 48 dB; FCC regulations; automatic noise assessment; cable TV; filter; non-intrusive method; signal-to-thermal noise ratio; spatial domain; television images; television picture; thermal noise measurement; FCC; Filters; Frequency domain analysis; Information filtering; Instruments; Noise measurement; Signal to noise ratio; Spectral analysis; TV; Testing;
  • fLanguage
    English
  • Journal_Title
    Consumer Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-3063
  • Type

    jour

  • DOI
    10.1109/30.370317
  • Filename
    370317