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BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* Copyright (c) 2011-2015, 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.distort;
import boofcv.alg.interpolate.InterpolatePixelS;
import boofcv.struct.distort.PixelTransform_F32;
import boofcv.struct.image.ImageSingleBand;
import georegression.struct.point.Point2D_F32;
/**
* Except for very simple functions, computing the per pixel distortion is an expensive operation.
* To overcome this problem the distortion is computed once and cached. Then when the image is distorted
* again the save results are simply recalled and not computed again.
*
* @author Peter Abeles
*/
public abstract class ImageDistortCache_SB
implements ImageDistort {
// size of output image
private int width=-1,height=-1;
private Point2D_F32 map[];
// sub pixel interpolation
private InterpolatePixelS interp;
// transform
private PixelTransform_F32 dstToSrc;
// crop boundary
private int x0,y0,x1,y1;
// should it render all pixels in the destination, even ones outside the input image
protected boolean renderAll = true;
protected Input srcImg;
protected Output dstImg;
protected boolean dirty;
/**
* Specifies configuration parameters
*
* @param interp Interpolation algorithm
*/
public ImageDistortCache_SB(InterpolatePixelS interp) {
this.interp = interp;
}
@Override
public void setModel(PixelTransform_F32 dstToSrc) {
this.dirty = true;
this.dstToSrc = dstToSrc;
}
@Override
public void apply(Input srcImg, Output dstImg) {
init(srcImg, dstImg);
x0 = 0;y0 = 0;x1 = dstImg.width;y1 = dstImg.height;
if( renderAll )
renderAll();
else
applyOnlyInside();
}
@Override
public void apply(Input srcImg, Output dstImg, int dstX0, int dstY0, int dstX1, int dstY1) {
init(srcImg, dstImg);
x0 = dstX0;y0 = dstY0;x1 = dstX1;y1 = dstY1;
if( renderAll )
renderAll();
else
applyOnlyInside();
}
private void init(Input srcImg, Output dstImg) {
if( dirty || width != dstImg.width || height != dstImg.height) {
width = dstImg.width;
height = dstImg.height;
map = new Point2D_F32[width*height];
for( int i = 0; i < map.length; i++ ) {
map[i] = new Point2D_F32();
}
int index = 0;
for( int y = 0; y < height; y++ ) {
for( int x = 0; x < width; x++ ) {
dstToSrc.compute(x,y);
map[index++].set(dstToSrc.distX,dstToSrc.distY);
}
}
} else if( dstImg.width != width || dstImg.height != height )
throw new IllegalArgumentException("Unexpected dstImg dimension");
this.srcImg = srcImg;
this.dstImg = dstImg;
interp.setImage(srcImg);
}
public void renderAll() {
// todo TO make this faster first apply inside the region which can process the fast border
// then do the slower border thingy
for( int y = y0; y < y1; y++ ) {
int indexDst = dstImg.startIndex + dstImg.stride*y + x0;
for( int x = x0; x < x1; x++ , indexDst++ ) {
Point2D_F32 s = map[indexDst];
assign(indexDst,interp.get(s.x, s.y));
}
}
}
public void applyOnlyInside() {
float maxWidth = srcImg.getWidth()-1;
float maxHeight = srcImg.getHeight()-1;
for( int y = y0; y < y1; y++ ) {
int indexDst = dstImg.startIndex + dstImg.stride*y + x0;
for( int x = x0; x < x1; x++ , indexDst++ ) {
Point2D_F32 s = map[indexDst];
if( s.x >= 0 && s.x <= maxWidth && s.y >= 0 && s.y <= maxHeight ) {
assign(indexDst,interp.get(s.x, s.y));
}
}
}
}
protected abstract void assign( int indexDst , float value );
@Override
public void setRenderAll(boolean renderAll) {
this.renderAll = renderAll;
}
@Override
public boolean getRenderAll() {
return renderAll;
}
}
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