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Abstract

We return to the model of continuous-tone full-motion pictures as a stochastic sequence of random variables, as described in Section 5.5. Pixel values are used as predictors, and thus:
$$ \chi _n {\mathbf{ }} = {\mathbf{ }}\chi _{n - 1} {\mathbf{ }} + {\mathbf{ }}\varepsilon _n $$
(6.1)
where:
  • xn is the pixel value to be predicted,

  • xn-1 is the pixel value to be used as predictor, and

  • ɛn is the prediction error distribution.

Keywords

Normalize Root Mean Square Error Pixel Space Host Processor Pixel Distribution Relative Visibility 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kluwer Academic Publishers 1997

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