genNoise
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Input
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An integer between 0 and 116 specifying the input image frame number. A value of 0 represents the DMA memory buffer of the video device. Values in the range of 100-116 correspond to hidden frames.
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Output
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An integer between 1 and 116 specifying the output image frame number. Values in the range of 100-116 correspond to hidden frames.
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Sigma
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A positive floating variable or constant specifying the standard deviation ó for the statistical distribution of noise. The larger this value is, the bigger the noise variations will be.
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Density
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An enumerated integer that describes the type of the noise distribution. Must be on of the following values:
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NS_UNIFORM uniformly distributed white noise of the selected variance. The amplitude range of the noise is limited to the value of
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NS_GAUSS Gaussian white noise of the selected local variance. The intensity distribution of noise is defined by the following equation:
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NS_EXPONENT exponential white noise of the selected local variance. The intensity distribution of noise is defined by the following equation:
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NS_POISSON Poisson noise generated from the image data. The intensity distribution of noise is defined by the following equation:
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Default value: NS_UNIFORM
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This set of statements continuously grabs an image and adds to it a uniform noise with the standard deviation 20:
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do
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grabim (100)
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gennoise(100,1,20,0)
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loop
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