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📄 anwtfilterintlift5x3.java

📁 jpeg2000编解码
💻 JAVA
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                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);        }    }    /**     * Returns the negative support of the low-pass analysis filter. That is     * the number of taps of the filter in the negative direction.     *     * @return 2     * */    public int getAnLowNegSupport() {        return 2;    }    /**     * Returns the positive support of the low-pass analysis filter. That is     * the number of taps of the filter in the negative direction.     *     * @return The number of taps of the low-pass analysis filter in the     * positive direction     * */    public int getAnLowPosSupport() {        return 2;    }    /**     * Returns the negative support of the high-pass analysis filter. That is     * the number of taps of the filter in the negative direction.     *     * @return The number of taps of the high-pass analysis filter in     * the negative direction     * */    public int getAnHighNegSupport() {        return 1;    }    /**     * Returns the positive support of the high-pass analysis filter. That is     * the number of taps of the filter in the negative direction.     *     * @return The number of taps of the high-pass analysis filter in the     * positive direction     * */    public int getAnHighPosSupport() {        return 1;    }    /**     * Returns the negative support of the low-pass synthesis filter. That is     * the number of taps of the filter in the negative direction.     *     * @return The number of taps of the low-pass synthesis filter in the     * negative direction     * */    public int getSynLowNegSupport() {        return 1;    }    /**     * Returns the positive support of the low-pass synthesis filter. That is     * the number of taps of the filter in the negative direction.     *     * @return The number of taps of the low-pass synthesis filter in     * the positive direction     * */    public int getSynLowPosSupport() {        return 1;    }    /**     * Returns the negative support of the high-pass synthesis filter. That is     * the number of taps of the filter in the negative direction.     *     * @return The number of taps of the high-pass synthesis filter in the     * negative direction     * */    public int getSynHighNegSupport() {        return 2;    }    /**     * Returns the positive support of the high-pass synthesis filter. That is     * the number of taps of the filter in the negative direction.     *     * @return The number of taps of the high-pass synthesis filter in the     * positive direction     * */    public int getSynHighPosSupport() {        return 2;    }        /**     * 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>     *     * @return The time-reversed low-pass synthesis waveform of the filter.     * */    public float[] getLPSynthesisFilter() {        return LPSynthesisFilter;    }    /**     * 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>     *     * @return The time-reversed high-pass synthesis waveform of the filter.     * */    public float[] getHPSynthesisFilter() {        return HPSynthesisFilter;    }    /**     * 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.     *     * @return WT_FILTER_INT_LIFT.     * */    public int getImplType() {        return WT_FILTER_INT_LIFT;    }    /**     * Returns the reversibility of the filter. A filter is considered     * reversible if it is suitable for lossless coding.     *     * @return true since the 5x3 is reversible, provided the appropriate     * rounding is performed.     * */    public boolean isReversible() {        return true;     }        /**     * 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>     *     * @param tailOvrlp This is the number of samples in the input signal     * before the first sample to filter that can be used for overlap.     *     * @param headOvrlp This is the number of samples in the input signal     * after the last sample to filter that can be used for overlap.     *     * @param 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 true if both overlaps are greater than 2, and correct     * processing is applied in the analyze() method.     * */    public boolean 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;        }    }    /**     * 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>     *     * @param The object against which to test inequality.     * */    public boolean equals(Object obj) {        // To speed up test, first test for reference equality        return obj == this ||            obj instanceof AnWTFilterIntLift5x3;    }    /**      * Returns the type of filter used according to the FilterTypes interface     * (W5x3).     *     * @see FilterTypes     *     * @return The filter type.     * */    public int getFilterType(){        return FilterTypes.W5X3;    }        /** Debugging method */    public String toString(){	return "w5x3";    }}

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