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/*
 * 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.abst.transform.wavelet.impl;

import boofcv.abst.transform.wavelet.WaveletTransform;
import boofcv.alg.transform.wavelet.UtilWavelet;
import boofcv.alg.transform.wavelet.WaveletTransformOps;
import boofcv.core.image.GConvertImage;
import boofcv.core.image.border.BorderType;
import boofcv.struct.image.ImageDimension;
import boofcv.struct.image.ImageInteger;
import boofcv.struct.image.ImageSInt32;
import boofcv.struct.wavelet.WaveletDescription;
import boofcv.struct.wavelet.WlCoef_I32;


/**
 * 

* Implementation of {@link boofcv.abst.transform.wavelet.WaveletTransform} for {@link boofcv.struct.image.ImageInteger}. *

* *

* Wavelet transforms are only provided for 32-bit integer images, so if the input image is not 32-bit * then it is first copied into a 32-bit image and then transformed. This is all done internally * and is transparent to the user. *

* @author Peter Abeles */ public class WaveletTransformInt implements WaveletTransform { // is either a copy of the transformed image or the input image ImageSInt32 copyInput = new ImageSInt32(1,1); ImageSInt32 copyOutput = new ImageSInt32(1,1); // temporary storage of intermediate results ImageSInt32 temp = new ImageSInt32(1,1); // description of the wavelet WaveletDescription desc; // number of levels in the transform int numLevels; // the class can really take any integer image as input, but this adds strong typeing Class inputType; // minimum and maximum allowed pixel values int minPixelValue; int maxPixelValue; public WaveletTransformInt(WaveletDescription desc, int numLevels, int minPixelValue , int maxPixelValue, Class inputType ) { this.desc = desc; this.numLevels = numLevels; this.inputType = inputType; this.minPixelValue = minPixelValue; this.maxPixelValue = maxPixelValue; } @Override public ImageSInt32 transform(T original, ImageSInt32 transformed) { if( transformed == null ) { ImageDimension d = UtilWavelet.transformDimension(original,numLevels); transformed = new ImageSInt32(d.width,d.height); } temp.reshape(transformed.width,transformed.height); copyInput.reshape(original.width,original.height); if( original.getDataType().getDataType() == int.class ) { copyInput.setTo((ImageSInt32)original); } else { GConvertImage.convert(original, copyInput); } WaveletTransformOps.transformN(desc, copyInput,transformed,temp,numLevels); return transformed; } @Override public void invert(ImageSInt32 transformed, T original) { copyInput.reshape(transformed.width,transformed.height); temp.reshape(transformed.width,transformed.height); copyInput.setTo(transformed); if( original.getDataType().getDataType() == int.class ) { WaveletTransformOps. inverseN(desc, copyInput, (ImageSInt32) original, temp, numLevels, minPixelValue, maxPixelValue); } else { copyOutput.reshape(original.width,original.height); WaveletTransformOps.inverseN(desc, copyInput, copyOutput,temp,numLevels,minPixelValue,maxPixelValue); GConvertImage.convert(copyOutput,original); } } @Override public int getLevels() { return numLevels; } @Override public BorderType getBorderType() { return UtilWavelet.convertToType(desc.getBorder()); } @Override public WaveletDescription getDescription() { return desc; } @Override public Class getOriginalType() { return inputType; } }




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