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/*
 * Copyright (c) 2020, 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.GrayS32;

/**
 * 

* Soft rule for shrinking an image: T(x) = sgn(x)*max(|x|-T,0) *

* * @author Peter Abeles */ public class ShrinkThresholdSoft_I32 implements ShrinkThresholdRule { @Override public void process( GrayS32 image, Number threshold ) { int f = threshold.intValue(); // see if all the coefficients should be set to zero if (f == Integer.MAX_VALUE) { 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; } else if (v >= f) { image.data[index] -= f; } else { image.data[index] += f; } } } } }




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