• DocumentCode
    1057008
  • Title

    Composite-Component Transformation and Predictive Coding of the Component Color TV Signal

  • Author

    Li, C.E. ; Rao, K.R.

  • Author_Institution
    Rockwell International WESCOM, Inc., Downer´´s Grove, IL
  • Volume
    2
  • Issue
    2
  • fYear
    1984
  • fDate
    3/1/1984 12:00:00 AM
  • Firstpage
    353
  • Lastpage
    358
  • Abstract
    Component coding of the NTSC color TV signal is investigated. This coding involves digital demodulation of the composite signal sampled at three times the color subcarrier frequency, the implementation of the compression algorithms on the subsampled component signal, and digital reconstruction of the processed NTSC color signal. The comb filter, bandpass filter, and Hilbert transformer are used for the demodulation of the luminance and the I and Q chrominance signals. The reconstructed components at the receiver are interpolated and modulated to obtain the composite signal. Different combinations of comb filters, bandpass filters and Hilbert transformers are used to investigate their effect on compositecomponent separation and reconstruction. Because of their reduced bandwidths, the chrominance signals are subsampled both horizontally and vertically. Several intrafield and intraline predictors are simulated. Of these, three predictors with small variances of the prediction error are combined with 4 and 3 bit Max quantizers for further processing and transmission in a TDM format. The data compression algorithms have been applied to color test pictures and their effectiveness is compared on the basis of quantitative criteria. The bandwidth reduction technique results in digital transmission of a single color TV signal at 32-43 Mbits/s.
  • Keywords
    Image coding; Band pass filters; Bandwidth; Color; Compression algorithms; Demodulation; Frequency; Predictive coding; Predictive models; Signal processing; TV;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/JSAC.1984.1146052
  • Filename
    1146052