AnWTFilterFloatLift9x7 Class

Inheritance

AnWTFilterFloatLift9x7

Implements

Namespace: CSJ2K.j2k.wavelet.analysis

Assembly: C1.C1Pdf.4.8.dll

Syntax

public class AnWTFilterFloatLift9x7 : AnWTFilterFloat, WaveletFilter

Public Class AnWTFilterFloatLift9x7
    Inherits AnWTFilterFloat
    Implements WaveletFilter

Constructors

Name	Description
AnWTFilterFloatLift9x7()

Fields

Name	Description
ALPHA	The value of the first lifting step coefficient
BETA	The value of the second lifting step coefficient
DELTA	The value of the fourth lifting step coefficient
GAMMA	The value of the third lifting step coefficient
KH	The value of the high-pass subband normalization factor
KL	The value of the low-pass subband normalization factor

Properties

Name	Description
AnHighNegSupport	Returns the negative support of the high-pass analysis filter. That is the number of taps of the filter in the negative direction.
AnHighPosSupport	Returns the positive support of the high-pass analysis filter. That is the number of taps of the filter in the negative direction.
AnLowNegSupport	Returns the negative support of the low-pass analysis filter. That is the number of taps of the filter in the negative direction.
AnLowPosSupport	Returns the positive support of the low-pass analysis filter. That is the number of taps of the filter in the negative direction.
FilterType	Returns the type of filter used according to the FilterTypes interface(W9x7).
ImplType	Returns the implementation type of this filter, as defined in this class, such as WT_FILTER_INT_LIFT, WT_FILTER_FLOAT_LIFT, WT_FILTER_FLOAT_CONVOL.
Reversible	Returns the reversibility of the filter. A filter is considered reversible if it is suitable for lossless coding.
SynHighNegSupport	Returns the negative support of the high-pass synthesis filter. That is the number of taps of the filter in the negative direction.
SynHighPosSupport	Returns the positive support of the high-pass synthesis filter. That is the number of taps of the filter in the negative direction.
SynLowNegSupport	Returns the negative support of the low-pass synthesis filter. That is the number of taps of the filter in the negative direction.
SynLowPosSupport	Returns the positive support of the low-pass synthesis filter. That is the number of taps of the filter in the negative direction.

Methods

Name	Description
Equals(object)
GetHashCode()
ToString()	Debugging method
analyze_hpf(float[], int, int, int, float[], int, int, float[], int, int)	A specific version of the analyze_hpf() method that works on int data. See the general description of the analyze_hpf() method in the AnWTFilter class for more details.
analyze_lpf(float[], int, int, int, float[], int, int, float[], int, int)	A specific version of the analyze_lpf() method that works on int data. See the general description of the analyze_lpf() method in the AnWTFilter class for more details.
getHPSynthesisFilter()	Returns the time-reversed high-pass synthesis waveform of the filter, which is the high-pass filter. This is the time-reversed impulse response of the high-pass synthesis filter. It is used to calculate the L2-norm of the synthesis basis functions for a particular subband (also called energy weight). `<p>The returned array may not be modified (i.e. a reference to the internal array may be returned by the implementation of this method).</p>`
getLPSynthesisFilter()	Returns the time-reversed low-pass synthesis waveform of the filter, which is the low-pass filter. This is the time-reversed impulse response of the low-pass synthesis filter. It is used to calculate the L2-norm of the synthesis basis functions for a particular subband (also called energy weight). `<p>The returned array may not be modified (i.e. a reference to the internal array may be returned by the implementation of this method).</p>`
isSameAsFullWT(int, int, int)	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. `<p>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.</p>`