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BoofCV is an open source Java library for real-time computer vision and robotics applications.
There is a newer version: 1.1.6
/*
 * Copyright (c) 2011-2019, 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.enhance;

import boofcv.alg.InputSanityCheck;
import boofcv.concurrency.IWorkArrays;
import boofcv.struct.image.*;

/**
 * Weakly typed version of {@link EnhanceImageOps}.
 *
 * @author Peter Abeles
 */
public class GEnhanceImageOps {
	/**
	 * Applies the transformation table to the provided input image.
	 *
	 * @param input Input image.
	 * @param transform Input transformation table.
	 * @param minValue Minimum possible pixel value.
	 * @param output Output image.
	 */
	public static >
	void applyTransform( T input , int transform[] , int minValue , T output ) {
		InputSanityCheck.checkSameShape(input, output);

		if( input instanceof GrayU8) {
			EnhanceImageOps.applyTransform((GrayU8) input, transform, (GrayU8) output);
		} else if( input instanceof GrayS8) {
			EnhanceImageOps.applyTransform((GrayS8)input,transform,minValue,(GrayS8)output);
		} else if( input instanceof GrayU16) {
			EnhanceImageOps.applyTransform((GrayU16)input,transform,(GrayU16)output);
		} else if( input instanceof GrayS16) {
			EnhanceImageOps.applyTransform((GrayS16)input,transform,minValue,(GrayS16)output);
		} else if( input instanceof GrayS32) {
			EnhanceImageOps.applyTransform((GrayS32)input,transform,minValue,(GrayS32)output);
		} else {
			throw new IllegalArgumentException("Image type not supported. "+input.getClass().getSimpleName());
		}
	}

	/**
	 * Equalizes the local image histogram on a per pixel basis.
	 *
	 * @param input Input image.
	 * @param radius Radius of square local histogram.
	 * @param output Output image.
	 * @param histogramLength Number of elements in the histogram. 256 for 8-bit images
	 * @param workArrays Used to create work arrays. can be null
	 */
	public static >
	void equalizeLocal( T input , int radius , T output ,
						int histogramLength , IWorkArrays workArrays ) {
		if( input instanceof Planar ) {
			Planar pi = (Planar)input;
			Planar po = (Planar)output;
			for (int i = 0; i < pi.getNumBands(); i++) {
				equalizeLocal(pi.getBand(i),radius,po.getBand(i),histogramLength, workArrays);
			}
		} else {
			if (input instanceof GrayU8) {
				EnhanceImageOps.equalizeLocal((GrayU8) input, radius, (GrayU8) output, histogramLength, workArrays);
			} else if (input instanceof GrayU16) {
				EnhanceImageOps.equalizeLocal((GrayU16) input, radius, (GrayU16) output, histogramLength, workArrays);
			} else {
				throw new IllegalArgumentException("Unsupported image type " + input.getClass().getSimpleName());
			}
		}
	}

	/**
	 * Applies a Laplacian-4 based sharpen filter to the image.
	 *
	 * @param input Input image.
	 * @param output Output image.
	 */
	public static > void sharpen4(T input , T output ) {
		if( input instanceof Planar ) {
			Planar pi = (Planar)input;
			Planar po = (Planar)output;
			for (int i = 0; i < pi.getNumBands(); i++) {
				sharpen4(pi.getBand(i),po.getBand(i));
			}
		} else {
			if (input instanceof GrayU8) {
				EnhanceImageOps.sharpen4((GrayU8) input, (GrayU8) output);
			} else if (input instanceof GrayF32) {
				EnhanceImageOps.sharpen4((GrayF32) input, (GrayF32) output);
			} else {
				throw new IllegalArgumentException("Image type not supported. " + input.getClass().getSimpleName());
			}
		}
	}

	/**
	 * Applies a Laplacian-8 based sharpen filter to the image.
	 *
	 * @param input Input image.
	 * @param output Output image.
	 */
	public static > void sharpen8(T input , T output ) {
		if( input instanceof Planar ) {
			Planar pi = (Planar)input;
			Planar po = (Planar)output;
			for (int i = 0; i < pi.getNumBands(); i++) {
				sharpen8(pi.getBand(i),po.getBand(i));
			}
		} else {
			if (input instanceof GrayU8) {
				EnhanceImageOps.sharpen8((GrayU8) input, (GrayU8) output);
			} else if (input instanceof GrayF32) {
				EnhanceImageOps.sharpen8((GrayF32) input, (GrayF32) output);
			} else {
				throw new IllegalArgumentException("Image type not supported. " + input.getClass().getSimpleName());
			}
		}
	}
}