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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.alg.transform.pyramid;

import boofcv.alg.distort.DistortImageOps;
import boofcv.alg.distort.PixelTransformAffine_F32;
import boofcv.alg.distort.impl.DistortSupport;
import boofcv.alg.interpolate.InterpolatePixelS;
import boofcv.struct.image.ImageGray;
import boofcv.struct.pyramid.PyramidFloat;


/**
 * 

* Updates each layer in a {@link boofcv.struct.pyramid.PyramidFloat} by rescaling the layer with interpolation. * Unlike {@link PyramidFloatGaussianScale}, no additional blurring is done between layers. *

* * @author Peter Abeles */ @SuppressWarnings({"unchecked"}) public class PyramidFloatScale< T extends ImageGray> extends PyramidFloat { // interpolation algorithm protected InterpolatePixelS interpolate; public PyramidFloatScale(InterpolatePixelS interpolate, double scaleFactors[] , Class imageType) { super(imageType,scaleFactors); this.interpolate = interpolate; } @Override public void process(T input) { super.initialize(input.width,input.height); if( isSaveOriginalReference() ) throw new IllegalArgumentException("The original reference cannot be saved"); for( int i = 0; i < scale.length; i++ ) { T prev = i == 0 ? input : getLayer(i-1); T layer = getLayer(i); PixelTransformAffine_F32 model = DistortSupport.transformScale(layer,prev, null); DistortImageOps.distortSingle(prev,layer, true, model,interpolate); } } @Override public double getSampleOffset(int layer) { return 0; } /** * No blur is applied to the image * * @param layer Layer in the pyramid * @return scale */ @Override public double getSigma(int layer) { return 0; } }




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