/* * Copyright (c) 2011-2016, Peter Abeles. All Rights Reserved. * * This file is part of BoofCV (http://boofcv.org). * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package boofcv.factory.transform.wavelet; import boofcv.core.image.border.BorderIndex1D_Wrap; import boofcv.struct.wavelet.WaveletDescription; import boofcv.struct.wavelet.WlBorderCoefStandard; import boofcv.struct.wavelet.WlCoef_F32; /** * <p> * Coiflet wavelets are designed to maintain a close match between the trend and the original * signal. * </p> * * <p> * CoifI wavelets have the following properties:<br> * <ul> * <li>Designed so that the trend stays close to the original signal's value</li> * <li>Conserve the signal's energy</li> * <li>If the signal is approximately polynomial of degree I/2-1 or less within the support then the trend is approximately zero.</li> * <li>If the signal is approximately polynomial of degree I/2-2 or less within the support then the fluctuation is approximately zero.</li> * <li>The sum of the scaling numbers is sqrt(2)</li> * <li>The sum of the wavelet numbers is 0</li> * </ul> * * <p> * Citations:<br> * James S. Walker, "A Primer on WAVELETS and Their Scientific Applications," 2nd Ed. 2008 * </p> * * @author Peter Abeles */ public class FactoryWaveletCoiflet { /** * Creates a description of a Coiflet of order I wavelet. * @param I order of the wavelet. * @return Wavelet description. */ public static WaveletDescription<WlCoef_F32> generate_F32( int I ) { if( I != 6 ) { throw new IllegalArgumentException("Only 6 is currently supported"); } WlCoef_F32 coef = new WlCoef_F32(); coef.offsetScaling = -2; coef.offsetWavelet = -2; coef.scaling = new float[6]; coef.wavelet = new float[6]; double sqrt7 = Math.sqrt(7); double div = 16.0*Math.sqrt(2); coef.scaling[0] = (float)((1.0-sqrt7)/div); coef.scaling[1] = (float)((5.0+sqrt7)/div); coef.scaling[2] = (float)((14.0+2.0*sqrt7)/div); coef.scaling[3] = (float)((14.0-2.0*sqrt7)/div); coef.scaling[4] = (float)((1.0-sqrt7)/div); coef.scaling[5] = (float)((-3.0+sqrt7)/div); coef.wavelet[0] = coef.scaling[5]; coef.wavelet[1] = -coef.scaling[4]; coef.wavelet[2] = coef.scaling[3]; coef.wavelet[3] = -coef.scaling[2]; coef.wavelet[4] = coef.scaling[1]; coef.wavelet[5] = -coef.scaling[0]; WlBorderCoefStandard<WlCoef_F32> inverse = new WlBorderCoefStandard<>(coef); return new WaveletDescription<>(new BorderIndex1D_Wrap(), coef, inverse); } }