/* * 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.denoise.wavelet; import boofcv.alg.denoise.ShrinkThresholdRule; import boofcv.alg.misc.ImageMiscOps; import boofcv.struct.image.GrayF32; /** * <p> * Hard rule for shrinking an image: T(x) = x*1(|x|>T) * </p> * * @author Peter Abeles */ public class ShrinkThresholdHard_F32 implements ShrinkThresholdRule<GrayF32> { @Override public void process(GrayF32 image, Number threshold) { float f = threshold.floatValue(); // see if all the coefficients should be set to zero if( Float.isInfinite(f)) { ImageMiscOps.fill(image, 0); return; } for( int y = 0; y < image.height; y++ ) { int index = image.startIndex + y*image.stride; int end = index + image.width; for( ; index < end; index++ ) { float v = image.data[index]; if( Math.abs(v) < f ) { image.data[index] = 0; } } } } }