Class SynWTFilterIntLift5x3
- java.lang.Object
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- jj2000.j2k.wavelet.synthesis.SynWTFilter
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- jj2000.j2k.wavelet.synthesis.SynWTFilterInt
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- jj2000.j2k.wavelet.synthesis.SynWTFilterIntLift5x3
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- All Implemented Interfaces:
Markers
,WaveletFilter
public class SynWTFilterIntLift5x3 extends SynWTFilterInt
This class inherits from the synthesis wavelet filter definition for int data. It implements the inverse wavelet transform specifically for the 5x3 filter. The implementation is based on the lifting scheme.See the SynWTFilter class for details such as normalization, how to split odd-length signals, etc. In particular, this method assumes that the low-pass coefficient is computed first.
- See Also:
SynWTFilter
,SynWTFilterInt
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Field Summary
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Fields inherited from interface jj2000.j2k.codestream.Markers
COC, COD, COM, CRG, EOC, EPH, EPH_LENGTH, ERS_SEG_SYMBOLS, ERS_SOP, MAX_COMP_BITDEPTH, MAX_LPPM, MAX_LPPT, PLM, PLT, POC, PPM, PPT, PRECINCT_PARTITION_DEF_SIZE, QCC, QCD, RCOM_GEN_USE, RGN, RSIZ_BASELINE, RSIZ_ER_FLAG, RSIZ_ROI, SCOX_HOR_CB_PART, SCOX_PRECINCT_PARTITION, SCOX_USE_EPH, SCOX_USE_SOP, SCOX_VER_CB_PART, SIZ, SOC, SOD, SOP, SOP_LENGTH, SOT, SQCX_EXP_MASK, SQCX_EXP_SHIFT, SQCX_GB_MSK, SQCX_GB_SHIFT, SQCX_NO_QUANTIZATION, SQCX_SCALAR_DERIVED, SQCX_SCALAR_EXPOUNDED, SRGN_IMPLICIT, SSIZ_DEPTH_BITS, TLM
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Fields inherited from interface jj2000.j2k.wavelet.WaveletFilter
WT_FILTER_FLOAT_CONVOL, WT_FILTER_FLOAT_LIFT, WT_FILTER_INT_LIFT
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Constructor Summary
Constructors Constructor Description SynWTFilterIntLift5x3()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description int
getAnHighNegSupport()
Returns the negative support of the high-pass analysis filter.int
getAnHighPosSupport()
Returns the positive support of the high-pass analysis filter.int
getAnLowNegSupport()
Returns the negative support of the low-pass analysis filter.int
getAnLowPosSupport()
Returns the positive support of the low-pass analysis filter.int
getImplType()
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.int
getSynHighNegSupport()
Returns the negative support of the high-pass synthesis filter.int
getSynHighPosSupport()
Returns the positive support of the high-pass synthesis filter.int
getSynLowNegSupport()
Returns the negative support of the low-pass synthesis filter.int
getSynLowPosSupport()
Returns the positive support of the low-pass synthesis filter.boolean
isReversible()
Returns the reversibility of the filter.boolean
isSameAsFullWT(int tailOvrlp, int headOvrlp, int inLen)
Returns true if the wavelet filter computes or uses the same "inner" subband coefficient as the full frame wavelet transform, and false otherwise.void
synthetize_hpf(int[] lowSig, int lowOff, int lowLen, int lowStep, int[] highSig, int highOff, int highLen, int highStep, int[] outSig, int outOff, int outStep)
An implementation of the synthetize_hpf() method that works on int data, for the inverse 5x3 wavelet transform using thelifting scheme.void
synthetize_lpf(int[] lowSig, int lowOff, int lowLen, int lowStep, int[] highSig, int highOff, int highLen, int highStep, int[] outSig, int outOff, int outStep)
An implementation of the synthetize_lpf() method that works on int data, for the inverse 5x3 wavelet transform using the lifting scheme.String
toString()
Returns a string of information about the synthesis wavelet filter-
Methods inherited from class jj2000.j2k.wavelet.synthesis.SynWTFilterInt
getDataType, synthetize_hpf, synthetize_lpf
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Method Detail
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synthetize_lpf
public void synthetize_lpf(int[] lowSig, int lowOff, int lowLen, int lowStep, int[] highSig, int highOff, int highLen, int highStep, int[] outSig, int outOff, int outStep)
An implementation of the synthetize_lpf() method that works on int data, for the inverse 5x3 wavelet transform using the lifting scheme. See the general description of the synthetize_lpf() method in the SynWTFilter class for more details.The coefficients of the first lifting step are [-1/4 1 -1/4].
The coefficients of the second lifting step are [1/2 1 1/2].
- Specified by:
synthetize_lpf
in classSynWTFilterInt
- Parameters:
lowSig
- This is the array that contains the low-pass input signal.lowOff
- This is the index in lowSig of the first sample to filter.lowLen
- This is the number of samples in the low-pass input signal to filter.lowStep
- This is the step, or interleave factor, of the low-pass input signal samples in the lowSig array.highSig
- This is the array that contains the high-pass input signal.highOff
- This is the index in highSig of the first sample to filter.highLen
- This is the number of samples in the high-pass input signal to filter.highStep
- This is the step, or interleave factor, of the high-pass input signal samples in the highSig array.outSig
- This is the array where the output signal is placed. It should be long enough to contain the output signal.outOff
- This is the index in outSig of the element where to put the first output sample.outStep
- This is the step, or interleave factor, of the output samples in the outSig array.- See Also:
SynWTFilter.synthetize_lpf(java.lang.Object, int, int, int, java.lang.Object, int, int, int, java.lang.Object, int, int)
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synthetize_hpf
public void synthetize_hpf(int[] lowSig, int lowOff, int lowLen, int lowStep, int[] highSig, int highOff, int highLen, int highStep, int[] outSig, int outOff, int outStep)
An implementation of the synthetize_hpf() method that works on int data, for the inverse 5x3 wavelet transform using thelifting scheme. See the general description of the synthetize_hpf() method in the SynWTFilter class for more details.The coefficients of the first lifting step are [-1/4 1 -1/4].
The coefficients of the second lifting step are [1/2 1 1/2].
- Specified by:
synthetize_hpf
in classSynWTFilterInt
- Parameters:
lowSig
- This is the array that contains the low-pass input signal.lowOff
- This is the index in lowSig of the first sample to filter.lowLen
- This is the number of samples in the low-pass input signal to filter.lowStep
- This is the step, or interleave factor, of the low-pass input signal samples in the lowSig array.highSig
- This is the array that contains the high-pass input signal.highOff
- This is the index in highSig of the first sample to filter.highLen
- This is the number of samples in the high-pass input signal to filter.highStep
- This is the step, or interleave factor, of the high-pass input signal samples in the highSig array.outSig
- This is the array where the output signal is placed. It should be long enough to contain the output signal.outOff
- This is the index in outSig of the element where to put the first output sample.outStep
- This is the step, or interleave factor, of the output samples in the outSig array.- See Also:
SynWTFilter.synthetize_hpf(java.lang.Object, int, int, int, java.lang.Object, int, int, int, java.lang.Object, int, int)
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getAnLowNegSupport
public int getAnLowNegSupport()
Returns the negative support of the low-pass analysis filter. That is the number of taps of the filter in the negative direction.- Returns:
- 2
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getAnLowPosSupport
public int getAnLowPosSupport()
Returns the positive support of the low-pass analysis filter. That is the number of taps of the filter in the negative direction.- Returns:
- The number of taps of the low-pass analysis filter in the positive direction
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getAnHighNegSupport
public int getAnHighNegSupport()
Returns the negative support of the high-pass analysis filter. That is the number of taps of the filter in the negative direction.- Returns:
- The number of taps of the high-pass analysis filter in the negative direction
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getAnHighPosSupport
public int getAnHighPosSupport()
Returns the positive support of the high-pass analysis filter. That is the number of taps of the filter in the negative direction.- Returns:
- The number of taps of the high-pass analysis filter in the positive direction
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getSynLowNegSupport
public int getSynLowNegSupport()
Returns the negative support of the low-pass synthesis filter. That is the number of taps of the filter in the negative direction.A MORE PRECISE DEFINITION IS NEEDED
- Returns:
- The number of taps of the low-pass synthesis filter in the negative direction
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getSynLowPosSupport
public int getSynLowPosSupport()
Returns the positive support of the low-pass synthesis filter. That is the number of taps of the filter in the negative direction.A MORE PRECISE DEFINITION IS NEEDED
- Returns:
- The number of taps of the low-pass synthesis filter in the positive direction
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getSynHighNegSupport
public int getSynHighNegSupport()
Returns the negative support of the high-pass synthesis filter. That is the number of taps of the filter in the negative direction.A MORE PRECISE DEFINITION IS NEEDED
- Returns:
- The number of taps of the high-pass synthesis filter in the negative direction
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getSynHighPosSupport
public int getSynHighPosSupport()
Returns the positive support of the high-pass synthesis filter. That is the number of taps of the filter in the negative direction.A MORE PRECISE DEFINITION IS NEEDED
- Returns:
- The number of taps of the high-pass synthesis filter in the positive direction
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getImplType
public int getImplType()
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.- Returns:
- WT_FILTER_INT_LIFT.
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isReversible
public boolean isReversible()
Returns the reversibility of the filter. A filter is considered reversible if it is suitable for lossless coding.- Returns:
- true since the 5x3 is reversible, provided the appropriate rounding is performed.
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isSameAsFullWT
public boolean isSameAsFullWT(int tailOvrlp, int headOvrlp, int inLen)
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.
- 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.- Returns:
- true if both overlaps are greater than 2, and correct processing is applied in the analyze() method.
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