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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.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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