/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You 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 org.apache.cocoon.reading.imageop; import java.awt.geom.AffineTransform; import java.awt.image.AffineTransformOp; import java.awt.image.WritableRaster; import java.util.StringTokenizer; import org.apache.avalon.framework.parameters.Parameters; import org.apache.cocoon.ProcessingException; public class AffineTransformOperation implements ImageOperation { private String prefix; private boolean enabled; private float[] matrix; public void setPrefix( String prefix ) { this.prefix = prefix; } public void setup( Parameters params ) throws ProcessingException { enabled = params.getParameterAsBoolean( prefix + "enabled", true); int size = params.getParameterAsInteger( prefix + "matrix-size", 6 ); String values = params.getParameter( prefix + "values", null ); if( size != 4 && size != 6 ) { throw new ProcessingException( "Only matrices of 4 or 6 elements can be used." ); } if( values != null ) { matrix = getFloatArray( values ); } else { matrix = new float[ size ]; } if( matrix.length != 4 && matrix.length != 6 ) { throw new ProcessingException( "Only matrices of 4 or 6 elements can be used." ); } float m00 = params.getParameterAsFloat( prefix + "m00", Float.NaN ); float m01 = params.getParameterAsFloat( prefix + "m01", Float.NaN ); float m02 = params.getParameterAsFloat( prefix + "m02", Float.NaN ); float m10 = params.getParameterAsFloat( prefix + "m10", Float.NaN ); float m11 = params.getParameterAsFloat( prefix + "m11", Float.NaN ); float m12 = params.getParameterAsFloat( prefix + "m12", Float.NaN ); if( matrix.length == 4 ) { matrix[0] = m00; matrix[1] = m01; matrix[2] = m10; matrix[3] = m11; } else { matrix[0] = m00; matrix[1] = m01; matrix[2] = m02; matrix[3] = m10; matrix[4] = m11; matrix[5] = m12; } } public WritableRaster apply( WritableRaster image ) { if( ! enabled ) { return image; } AffineTransform transform = new AffineTransform( matrix ); AffineTransformOp op = new AffineTransformOp( transform, AffineTransformOp.TYPE_BILINEAR ); WritableRaster scaledRaster = op.filter( image, null ); return scaledRaster; } public String getKey() { return "affine:" + ( enabled ? "enable" : "disable" ) + ":" + getMatrixAsString() + ":" + prefix; } private float[] getFloatArray( String values ) { float[] fvalues = new float[ 30 ]; int counter = 0; StringTokenizer st = new StringTokenizer( values, ",", false ); for( int i = 0 ; st.hasMoreTokens() ; i++ ) { String value = st.nextToken().trim(); fvalues[ i ] = Float.parseFloat( value ); counter = counter + 1; } float[] result = new float[ counter ]; for( int i = 0 ; i < counter ; i++ ) { result[i] = fvalues[i]; } return result; } private String getMatrixAsString() { StringBuffer b = new StringBuffer(); for( int i = 0 ; i < matrix.length ; i++ ) { if( i != 0 ) { b.append( "," ); } b.append( matrix[ i ] ); } String result = b.toString(); b.setLength( 0 ); return result; } }