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/*
* CVS identifier:
*
* $Id: AnWTFilterIntLift5x3.java,v 1.15 2001/08/02 11:19:27 grosbois Exp $
*
* Class:                   AnWTFilterIntLift5x3
*
* Description:             An analyzing wavelet filter implementing the
*                          lifting 5x3 transform.
*
*
*
* COPYRIGHT:
* 
* This software module was originally developed by Raphaël Grosbois and
* Diego Santa Cruz (Swiss Federal Institute of Technology-EPFL); Joel
* Askelöf (Ericsson Radio Systems AB); and Bertrand Berthelot, David
* Bouchard, Félix Henry, Gerard Mozelle and Patrice Onno (Canon Research
* Centre France S.A) in the course of development of the JPEG2000
* standard as specified by ISO/IEC 15444 (JPEG 2000 Standard). This
* software module is an implementation of a part of the JPEG 2000
* Standard. Swiss Federal Institute of Technology-EPFL, Ericsson Radio
* Systems AB and Canon Research Centre France S.A (collectively JJ2000
* Partners) agree not to assert against ISO/IEC and users of the JPEG
* 2000 Standard (Users) any of their rights under the copyright, not
* including other intellectual property rights, for this software module
* with respect to the usage by ISO/IEC and Users of this software module
* or modifications thereof for use in hardware or software products
* claiming conformance to the JPEG 2000 Standard. Those intending to use
* this software module in hardware or software products are advised that
* their use may infringe existing patents. The original developers of
* this software module, JJ2000 Partners and ISO/IEC assume no liability
* for use of this software module or modifications thereof. No license
* or right to this software module is granted for non JPEG 2000 Standard
* conforming products. JJ2000 Partners have full right to use this
* software module for his/her own purpose, assign or donate this
* software module to any third party and to inhibit third parties from
* using this software module for non JPEG 2000 Standard conforming
* products. This copyright notice must be included in all copies or
* derivative works of this software module.
* 
* Copyright (c) 1999/2000 JJ2000 Partners.
* */
using System;
using CSJ2K.j2k.codestream.writer;
using CSJ2K.j2k.wavelet;
using CSJ2K.j2k.image;
using CSJ2K.j2k;
namespace CSJ2K.j2k.wavelet.analysis
{
        
        /// <summary> This class inherits from the analysis wavelet filter definition for int
        /// data. It implements the forward wavelet transform specifically for the 5x3
        /// filter. The implementation is based on the lifting scheme.
        /// 
        /// <p>See the AnWTFilter 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.</p>
        /// 
        /// </summary>
        /// <seealso cref="AnWTFilter">
        /// </seealso>
        /// <seealso cref="AnWTFilterInt">
        /// 
        /// </seealso>
        public class AnWTFilterIntLift5x3:AnWTFilterInt
        {
                /// <summary> Returns the negative support of the low-pass analysis filter. That is
                /// the number of taps of the filter in the negative direction.
                /// 
                /// </summary>
                /// <returns> 2
                /// 
                /// </returns>
                override public int AnLowNegSupport
                {
                        get
                        {
                                return 2;
                        }
                        
                }
                /// <summary> Returns the positive support of the low-pass analysis filter. That is
                /// the number of taps of the filter in the negative direction.
                /// 
                /// </summary>
                /// <returns> The number of taps of the low-pass analysis filter in the
                /// positive direction
                /// 
                /// </returns>
                override public int AnLowPosSupport
                {
                        get
                        {
                                return 2;
                        }
                        
                }
                /// <summary> Returns the negative support of the high-pass analysis filter. That is
                /// the number of taps of the filter in the negative direction.
                /// 
                /// </summary>
                /// <returns> The number of taps of the high-pass analysis filter in
                /// the negative direction
                /// 
                /// </returns>
                override public int AnHighNegSupport
                {
                        get
                        {
                                return 1;
                        }
                        
                }
                /// <summary> Returns the positive support of the high-pass analysis filter. That is
                /// the number of taps of the filter in the negative direction.
                /// 
                /// </summary>
                /// <returns> The number of taps of the high-pass analysis filter in the
                /// positive direction
                /// 
                /// </returns>
                override public int AnHighPosSupport
                {
                        get
                        {
                                return 1;
                        }
                        
                }
                /// <summary> Returns the negative support of the low-pass synthesis filter. That is
                /// the number of taps of the filter in the negative direction.
                /// 
                /// </summary>
                /// <returns> The number of taps of the low-pass synthesis filter in the
                /// negative direction
                /// 
                /// </returns>
                override public int SynLowNegSupport
                {
                        get
                        {
                                return 1;
                        }
                        
                }
                /// <summary> Returns the positive support of the low-pass synthesis filter. That is
                /// the number of taps of the filter in the negative direction.
                /// 
                /// </summary>
                /// <returns> The number of taps of the low-pass synthesis filter in
                /// the positive direction
                /// 
                /// </returns>
                override public int SynLowPosSupport
                {
                        get
                        {
                                return 1;
                        }
                        
                }
                /// <summary> Returns the negative support of the high-pass synthesis filter. That is
                /// the number of taps of the filter in the negative direction.
                /// 
                /// </summary>
                /// <returns> The number of taps of the high-pass synthesis filter in the
                /// negative direction
                /// 
                /// </returns>
                override public int SynHighNegSupport
                {
                        get
                        {
                                return 2;
                        }
                        
                }
                /// <summary> Returns the positive support of the high-pass synthesis filter. That is
                /// the number of taps of the filter in the negative direction.
                /// 
                /// </summary>
                /// <returns> The number of taps of the high-pass synthesis filter in the
                /// positive direction
                /// 
                /// </returns>
                override public int SynHighPosSupport
                {
                        get
                        {
                                return 2;
                        }
                        
                }
                /// <summary> 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.
                /// 
                /// </summary>
                /// <returns> WT_FILTER_INT_LIFT.
                /// 
                /// </returns>
                override public int ImplType
                {
                        get
                        {
                                return CSJ2K.j2k.wavelet.WaveletFilter_Fields.WT_FILTER_INT_LIFT;
                        }
                        
                }
                /// <summary> Returns the reversibility of the filter. A filter is considered
                /// reversible if it is suitable for lossless coding.
                /// 
                /// </summary>
                /// <returns> true since the 5x3 is reversible, provided the appropriate
                /// rounding is performed.
                /// 
                /// </returns>
                override public bool Reversible
                {
                        get
                        {
                                return true;
                        }
                        
                }
                /// <summary> Returns the type of filter used according to the FilterTypes interface
                /// (W5x3).
                /// 
                /// </summary>
                /// <seealso cref="FilterTypes">
                /// 
                /// </seealso>
                /// <returns> The filter type.
                /// 
                /// </returns>
                override public int FilterType
                {
                        get
                        {
                                return CSJ2K.j2k.wavelet.FilterTypes_Fields.W5X3;
                        }
                        
                }
                
                /// <summary>The low-pass synthesis filter of the 5x3 wavelet transform </summary>
                //UPGRADE_NOTE: Final was removed from the declaration of 'LPSynthesisFilter'. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1003'"
                private static readonly float[] LPSynthesisFilter = new float[]{0.5f, 1f, 0.5f};
                
                /// <summary>The high-pass synthesis filter of the 5x3 wavelet transform </summary>
                //UPGRADE_NOTE: Final was removed from the declaration of 'HPSynthesisFilter'. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1003'"
                private static readonly float[] HPSynthesisFilter = new float[]{- 0.125f, - 0.25f, 0.75f, - 0.25f, - 0.125f};
                
                /// <summary> An implementation of the analyze_lpf() method that works on int data,
                /// for the forward 5x3 wavelet transform using the lifting scheme. See the
                /// general description of the analyze_lpf() method in the AnWTFilter class
                /// for more details.
                /// 
                /// <p>The coefficients of the first lifting step are [-1/2 1 -1/2].</p>
                /// 
                /// <p>The coefficients of the second lifting step are [1/4 1 1/4].</p>
                /// 
                /// </summary>
                /// <param name="inSig">This is the array that contains the input signal.
                /// 
                /// </param>
                /// <param name="inOff">This is the index in inSig of the first sample to filter.
                /// 
                /// </param>
                /// <param name="inLen">This is the number of samples in the input signal to
                /// filter.
                /// 
                /// </param>
                /// <param name="inStep">This is the step, or interleave factor, of the input
                /// signal samples in the inSig array.
                /// 
                /// </param>
                /// <param name="lowSig">This is the array where the low-pass output signal is
                /// placed.
                /// 
                /// </param>
                /// <param name="lowOff">This is the index in lowSig of the element where to put
                /// the first low-pass output sample.
                /// 
                /// </param>
                /// <param name="lowStep">This is the step, or interleave factor, of the low-pass
                /// output samples in the lowSig array.
                /// 
                /// </param>
                /// <param name="highSig">This is the array where the high-pass output signal is
                /// placed.
                /// 
                /// </param>
                /// <param name="highOff">This is the index in highSig of the element where to put
                /// the first high-pass output sample.
                /// 
                /// </param>
                /// <param name="highStep">This is the step, or interleave factor, of the
                /// high-pass output samples in the highSig array.
                /// 
                /// </param>
                public override void  analyze_lpf(int[] inSig, int inOff, int inLen, int inStep, int[] lowSig, int lowOff, int lowStep, int[] highSig, int highOff, int highStep)
                {
                        int i;
                        int iStep = 2 * inStep; //Subsampling in inSig
                        int ik; //Indexing inSig
                        int lk; //Indexing lowSig
                        int hk; //Indexing highSig
                        
                        /* Generate high frequency subband */
                        
                        //Initialize counters
                        ik = inOff + inStep;
                        hk = highOff;
                        
                        //Apply first lifting step to each "inner" sample.
                        for (i = 1; i < inLen - 1; i += 2)
                        {
                                highSig[hk] = inSig[ik] - ((inSig[ik - inStep] + inSig[ik + inStep]) >> 1);
                                
                                ik += iStep;
                                hk += highStep;
                        }
                        
                        //Handle head boundary effect if input signal has even length.
                        if (inLen % 2 == 0)
                        {
                                highSig[hk] = inSig[ik] - ((2 * inSig[ik - inStep]) >> 1);
                        }
                        
                        /* Generate low frequency subband */
                        
                        //Initialize counters
                        ik = inOff;
                        lk = lowOff;
                        hk = highOff;
                        
                        if (inLen > 1)
                        {
                                lowSig[lk] = inSig[ik] + ((highSig[hk] + 1) >> 1);
                        }
                        else
                        {
                                lowSig[lk] = inSig[ik];
                        }
                        
                        ik += iStep;
                        lk += lowStep;
                        hk += highStep;
                        
                        //Apply lifting step to each "inner" sample.
                        for (i = 2; i < inLen - 1; i += 2)
                        {
                                lowSig[lk] = inSig[ik] + ((highSig[hk - highStep] + highSig[hk] + 2) >> 2);
                                
                                ik += iStep;
                                lk += lowStep;
                                hk += highStep;
                        }
                        
                        //Handle head boundary effect if input signal has odd length.
                        if (inLen % 2 == 1)
                        {
                                if (inLen > 2)
                                {
                                        lowSig[lk] = inSig[ik] + ((2 * highSig[hk - highStep] + 2) >> 2);
                                }
                        }
                }
                
                /// <summary> An implementation of the analyze_hpf() method that works on int data,
                /// for the forward 5x3 wavelet transform using the lifting scheme. See the
                /// general description of the analyze_hpf() method in the AnWTFilter class
                /// for more details.
                /// 
                /// <P>The coefficients of the first lifting step are [-1/2 1 -1/2].</p>
                /// 
                /// <P>The coefficients of the second lifting step are [1/4 1 1/4].</p>
                /// 
                /// </summary>
                /// <param name="inSig">This is the array that contains the input signal.
                /// 
                /// </param>
                /// <param name="inOff">This is the index in inSig of the first sample to filter.
                /// 
                /// </param>
                /// <param name="inLen">This is the number of samples in the input signal to
                /// filter.
                /// 
                /// </param>
                /// <param name="inStep">This is the step, or interleave factor, of the input
                /// signal samples in the inSig array.
                /// 
                /// </param>
                /// <param name="lowSig">This is the array where the low-pass output signal is
                /// placed.
                /// 
                /// </param>
                /// <param name="lowOff">This is the index in lowSig of the element where to put
                /// the first low-pass output sample.
                /// 
                /// </param>
                /// <param name="lowStep">This is the step, or interleave factor, of the low-pass
                /// output samples in the lowSig array.
                /// 
                /// </param>
                /// <param name="highSig">This is the array where the high-pass output signal is
                /// placed.
                /// 
                /// </param>
                /// <param name="highOff">This is the index in highSig of the element where to put
                /// the first high-pass output sample.
                /// 
                /// </param>
                /// <param name="highStep">This is the step, or interleave factor, of the
                /// high-pass output samples in the highSig array.
                /// 
                /// </param>
                /// <seealso cref="AnWTFilter.analyze_hpf">
                /// 
                /// </seealso>
                public override void  analyze_hpf(int[] inSig, int inOff, int inLen, int inStep, int[] lowSig, int lowOff, int lowStep, int[] highSig, int highOff, int highStep)
                {
                        int i;
                        int iStep = 2 * inStep; //Subsampling in inSig
                        int ik; //Indexing inSig
                        int lk; //Indexing lowSig
                        int hk; //Indexing highSig
                        
                        /* Generate high frequency subband */
                        
                        //Initialize counters
                        ik = inOff;
                        hk = highOff;
                        
                        if (inLen > 1)
                        {
                                // apply a symmetric extension.
                                highSig[hk] = inSig[ik] - inSig[ik + inStep];
                        }
                        else
                        {
                                // Normalize for Nyquist gain
                                highSig[hk] = inSig[ik] << 1;
                        }
                        
                        ik += iStep;
                        hk += highStep;
                        
                        //Apply first lifting step to each "inner" sample.
                        if (inLen > 3)
                        {
                                for (i = 2; i < inLen - 1; i += 2)
                                {
                                        highSig[hk] = inSig[ik] - ((inSig[ik - inStep] + inSig[ik + inStep]) >> 1);
                                        ik += iStep;
                                        hk += highStep;
                                }
                        }
                        
                        //If input signal has odd length then we perform the lifting step
                        //i.e. apply a symmetric extension.
                        if (inLen % 2 == 1 && inLen > 1)
                        {
                                highSig[hk] = inSig[ik] - inSig[ik - inStep];
                        }
                        
                        /* Generate low frequency subband */
                        
                        //Initialize counters
                        ik = inOff + inStep;
                        lk = lowOff;
                        hk = highOff;
                        
                        for (i = 1; i < inLen - 1; i += 2)
                        {
                                
                                lowSig[lk] = inSig[ik] + ((highSig[hk] + highSig[hk + highStep] + 2) >> 2);
                                
                                ik += iStep;
                                lk += lowStep;
                                hk += highStep;
                        }
                        
                        if (inLen > 1 && inLen % 2 == 0)
                        {
                                // apply a symmetric extension.
                                lowSig[lk] = inSig[ik] + ((2 * highSig[hk] + 2) >> 2);
                        }
                }
                
                /// <summary> 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>
                /// 
                /// </summary>
                /// <returns> The time-reversed low-pass synthesis waveform of the filter.
                /// 
                /// </returns>
                public override float[] getLPSynthesisFilter()
                {
                        return LPSynthesisFilter;
                }
                
                /// <summary> 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>
                /// 
                /// </summary>
                /// <returns> The time-reversed high-pass synthesis waveform of the filter.
                /// 
                /// </returns>
                public override float[] getHPSynthesisFilter()
                {
                        return HPSynthesisFilter;
                }
                
                /// <summary> 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>
                /// 
                /// </summary>
                /// <param name="tailOvrlp">This is the number of samples in the input signal
                /// before the first sample to filter that can be used for overlap.
                /// 
                /// </param>
                /// <param name="headOvrlp">This is the number of samples in the input signal
                /// after the last sample to filter that can be used for overlap.
                /// 
                /// </param>
                /// <param name="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.
                /// 
                /// </param>
                /// <returns> true if both overlaps are greater than 2, and correct
                /// processing is applied in the analyze() method.
                /// 
                /// </returns>
                public override bool isSameAsFullWT(int tailOvrlp, int headOvrlp, int inLen)
                {
                        
                        //If the input signal has even length.
                        if (inLen % 2 == 0)
                        {
                                if (tailOvrlp >= 2 && headOvrlp >= 1)
                                        return true;
                                else
                                        return false;
                        }
                        //Else if the input signal has odd length.
                        else
                        {
                                if (tailOvrlp >= 2 && headOvrlp >= 2)
                                        return true;
                                else
                                        return false;
                        }
                }
                
                /// <summary> Tests if the 'obj' object is the same filter as this one. Two filters
                /// are the same if the same filter code should be output for both filters
                /// by the encodeFilterCode() method.
                /// 
                /// <p>Currently the implementation of this method only tests if 'obj' is
                /// also of the class AnWTFilterIntLift5x3.</p>
                /// 
                /// </summary>
                /// <param name="The">object against which to test inequality.
                /// 
                /// </param>
                public  override bool Equals(System.Object obj)
                {
                        // To speed up test, first test for reference equality
                        return obj == this || obj is AnWTFilterIntLift5x3;
                }
                
                /// <summary>Debugging method </summary>
                public override System.String ToString()
                {
                        return "w5x3";
                }
                //UPGRADE_NOTE: The following method implementation was automatically added to preserve functionality. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1306'"
                public override int GetHashCode()
                {
                        return base.GetHashCode();
                }
        }
}

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