/* * 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.demonstrations.filter; import boofcv.abst.distort.FDistort; import boofcv.alg.filter.misc.AverageDownSampleOps; import boofcv.gui.image.ShowImages; import boofcv.io.UtilIO; import boofcv.io.image.ConvertBufferedImage; import boofcv.io.image.UtilImageIO; import boofcv.struct.image.GrayF32; import boofcv.struct.image.Planar; import java.awt.image.BufferedImage; /** * @author Peter Abeles */ public class VisualizeAverageDownSample { public static void main(String[] args) { BufferedImage original = UtilImageIO.loadImage(UtilIO.pathExample("simple_objects.jpg")); Planar<GrayF32> input = new Planar<>(GrayF32.class, original.getWidth(),original.getHeight(),3); ConvertBufferedImage.convertFromMulti(original,input,true,GrayF32.class); Planar<GrayF32> output = new Planar<>(GrayF32.class, original.getWidth()/3,original.getHeight()/3,3); Planar<GrayF32> output2 = new Planar<>(GrayF32.class, original.getWidth()/3,original.getHeight()/3,3); AverageDownSampleOps.down(input, output); new FDistort(input,output2).scaleExt().apply(); BufferedImage outputFull = ConvertBufferedImage.convertTo_F32(output, null, true); BufferedImage outputFull2 = ConvertBufferedImage.convertTo_F32(output2, null, true); ShowImages.showWindow(original,"Original"); ShowImages.showWindow(outputFull,"3x small average"); ShowImages.showWindow(outputFull2,"3x small bilinear"); } }