ComponentOne PdfViewer for WPF and Silverlight
C1.WPF.PdfViewer.4.6.2 Assembly / CSJ2K.j2k.wavelet Namespace / WaveletFilter Interface / isSameAsFullWT Method
This is the number of samples in the input signal before the first sample to filter that can be used for overlap.
This is the number of samples in the input signal after the last sample to filter that can be used for overlap.
This is the lenght of the input signal to filter.The required number of samples in the input signal after the last sample depends on the length of the input signal.

In This Topic
    isSameAsFullWT Method (WaveletFilter)
    In This Topic
    Returns true if the wavelet filter computes or uses the same "inner" subband coefficient as the full frame wavelet transform, and false otherwise. In particular, for block based transforms with reduced overlap, this method should return false. The term "inner" indicates that this applies only with respect to the coefficient that are not affected by image boundaries processings such as symmetric extension, since there is not reference method for this.

    The result depends on the length of the allowed overlap when compared to the overlap required by the wavelet filter. It also depends on how overlap processing is implemented in the wavelet filter.

    Syntax
    'Declaration
     
    
    Function isSameAsFullWT( _
       ByVal tailOvrlp As Integer, _
       ByVal headOvrlp As Integer, _
       ByVal inLen As Integer _
    ) As Boolean
    bool isSameAsFullWT( 
       int tailOvrlp,
       int headOvrlp,
       int inLen
    )

    Parameters

    tailOvrlp
    This is the number of samples in the input signal before the first sample to filter that can be used for overlap.
    headOvrlp
    This is the number of samples in the input signal after the last sample to filter that can be used for overlap.
    inLen
    This is the lenght of the input signal to filter.The required number of samples in the input signal after the last sample depends on the length of the input signal.

    Return Value

    true if the overlaps are large enough and correct processing is performed, false otherwise.
    See Also