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yuvycsnoise (1)
  • >> yuvycsnoise (1) ( Linux man: Команды и прикладные программы пользовательского уровня )
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    NAME

    yuvycsnoise - Noise filter specialized for NTSC Y/C separation noise
    

     

    SYNOPSIS

    yuvycsnoise [-t] [-m t|b|i|c] [-S MIN] [-T ERRT[,MAXT]] [-B ERRB[,MAXB]] [-I ERRI[,MAXI]] [-C ERRC[,MAXC]]

     

    DESCRIPTION

    If video capture hardware has only a poor Y/C separator, at vertical stripe (especially red/blue), noises appear which seem checker flag and bright/dark invert per 1 frame. yuvycsnoise reduces noises of this type.

     

    OPTIONS

    yuvycsnoise accepts the following options:
    -t
    test. Instead of noise reduction, noises will be marked as black pixel.
    -m METHOD
    (default: tbic).
    Select method. METHOD is string in which each character mean method.
     t: 'triframe' method of luma noise reduction.
     b: 'biframe' method of luma noise reduction.
     i: 'infield' method of luma noise reduction.
     c: chroma noise reduction. use 3 frames as 'triframe'.
    -S MIN
    (default: 4).
    Set minimum threshold of luma/chroma difference which is treated as noise.
    -T ERRT[,MAXT]
    (default: 32,255).
    -B ERRB[,MAXB]
    (default: 32,255).
    -I ERRI[,MAXI]
    (default: 16,255).
    -C ERRC[,MAXC]
    (default: 12,255).
    Set threshold of luma/chroma difference of each methods. ERRx is maximum error of luma/chroma of pixels around target pixel, which should be same if target contain noise. MAXx is maximum threshold of luma/chroma difference of target pixel from luma/chroma after noise reduced.

     

    AUTHOR

    yuvycsnoise was written by Kawamata/Hitoshi.
    If you have questions, remarks, problems or you just want to contact the developers, the main mailing list for the MJPEG-tools is:
      mjpeg-users@lists.sourceforge.net

    For more info, see our website at
    http://mjpeg.sourceforge.net/

     

    SEE ALSO

    mjpegtools(1)


     

    Index

    NAME
    SYNOPSIS
    DESCRIPTION
    OPTIONS
    AUTHOR
    SEE ALSO


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