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BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* 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.border.BorderType;
import boofcv.struct.image.GrayF32;
import boofcv.struct.image.ImageDimension;
import boofcv.struct.wavelet.WaveletDescription;
import boofcv.struct.wavelet.WlCoef_F32;
/**
* Implementation of {@link boofcv.abst.transform.wavelet.WaveletTransform} for {@link GrayF32}.
*
* @author Peter Abeles
*/
public class WaveletTransformFloat32 implements WaveletTransform {
GrayF32 copy = new GrayF32(1,1);
GrayF32 temp = new GrayF32(1,1);
WaveletDescription desc;
// number of levels in the transform
int numLevels;
// minimum and maximum allowed pixel values
float minPixelValue;
float maxPixelValue;
public WaveletTransformFloat32(WaveletDescription desc, int numLevels,
float minPixelValue , float maxPixelValue ) {
this.desc = desc;
this.numLevels = numLevels;
this.minPixelValue = minPixelValue;
this.maxPixelValue = maxPixelValue;
}
@Override
public GrayF32 transform(GrayF32 original, GrayF32 transformed) {
if( transformed == null ) {
ImageDimension d = UtilWavelet.transformDimension(original,numLevels);
transformed = new GrayF32(d.width,d.height);
}
temp.reshape(transformed.width,transformed.height);
copy.reshape(original.width,original.height);
copy.setTo(original);
WaveletTransformOps.transformN(desc,copy,transformed,temp,numLevels);
return transformed;
}
@Override
public void invert(GrayF32 transformed, GrayF32 original) {
temp.reshape(transformed.width,transformed.height);
copy.reshape(transformed.width,transformed.height);
copy.setTo(transformed);
WaveletTransformOps.inverseN(desc,copy,original,temp,numLevels,minPixelValue,maxPixelValue);
}
@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 GrayF32.class;
}
}
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