boofcv.abst.transform.wavelet.impl.WaveletTransformFloat32 Maven / Gradle / Ivy

Go to download

Show more of this group Show more artifacts with this name
Show all versions of ip Show documentation

BoofCV is an open source Java library for real-time computer vision and robotics applications.

There is a newer version: 0.26

/*
 * Copyright (c) 2011-2013, 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.border.BorderType;
import boofcv.struct.image.ImageDimension;
import boofcv.struct.image.ImageFloat32;
import boofcv.struct.wavelet.WaveletDescription;
import boofcv.struct.wavelet.WlCoef_F32;


/**
 * Implementation of {@link boofcv.abst.transform.wavelet.WaveletTransform} for {@link ImageFloat32}.
 *
 * @author Peter Abeles
 */
public class WaveletTransformFloat32 implements WaveletTransform {

	ImageFloat32 copy = new ImageFloat32(1,1);
	ImageFloat32 temp = new ImageFloat32(1,1);
	WaveletDescription desc;
	// number of levels in the transform
	int numLevels;

	// minimum and maximum allowed pixel values
	float minPixelValue;
	float maxPixelValue;

	public WaveletTransformFloat32(WaveletDescription desc, int numLevels,
								   float minPixelValue , float maxPixelValue ) {
		this.desc = desc;
		this.numLevels = numLevels;
		this.minPixelValue = minPixelValue;
		this.maxPixelValue = maxPixelValue;
	}

	@Override
	public ImageFloat32 transform(ImageFloat32 original, ImageFloat32 transformed) {

		if( transformed == null ) {
			ImageDimension d = UtilWavelet.transformDimension(original,numLevels);
			transformed = new ImageFloat32(d.width,d.height);
		}
		temp.reshape(transformed.width,transformed.height);
		copy.reshape(original.width,original.height);
		copy.setTo(original);

		WaveletTransformOps.transformN(desc,copy,transformed,temp,numLevels);

		return transformed;
	}

	@Override
	public void invert(ImageFloat32 transformed, ImageFloat32 original) {
		temp.reshape(transformed.width,transformed.height);
		copy.reshape(transformed.width,transformed.height);
		copy.setTo(transformed);

		WaveletTransformOps.inverseN(desc,copy,original,temp,numLevels,minPixelValue,maxPixelValue);
	}

	@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 ImageFloat32.class;
	}
}