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This is a backport of OpenJFX 8 to run on Java 7.
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/*
* Copyright (c) 2009, 2013, Oracle and/or its affiliates. All rights reserved.
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
*
* This code is free software; you can redistribute it and/or modify it
* under the terms of the GNU General Public License version 2 only, as
* published by the Free Software Foundation. Oracle designates this
* particular file as subject to the "Classpath" exception as provided
* by Oracle in the LICENSE file that accompanied this code.
*
* This code is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
* version 2 for more details (a copy is included in the LICENSE file that
* accompanied this code).
*
* You should have received a copy of the GNU General Public License version
* 2 along with this work; if not, write to the Free Software Foundation,
* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
*
* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
* or visit www.oracle.com if you need additional information or have any
* questions.
*/
/*
* This file was originally generated by JSLC
* and then hand edited for performance.
*/
package com.sun.scenario.effect.impl.sw.java;
import com.sun.scenario.effect.Effect;
import com.sun.scenario.effect.BoxShadow;
import com.sun.scenario.effect.FilterContext;
import com.sun.scenario.effect.ImageData;
import com.sun.scenario.effect.impl.HeapImage;
import com.sun.scenario.effect.impl.Renderer;
import com.sun.javafx.geom.Rectangle;
import com.sun.javafx.geom.transform.BaseTransform;
public class JSWBoxShadowPeer extends JSWEffectPeer {
public JSWBoxShadowPeer(FilterContext fctx, Renderer r, String uniqueName) {
super(fctx, r, uniqueName);
}
@Override
protected final BoxShadow getEffect() {
return (BoxShadow)super.getEffect();
}
@Override
public ImageData filter(Effect effect,
BaseTransform transform,
Rectangle outputClip,
ImageData... inputs)
{
// NOTE: for now, all input images must be TYPE_INT_ARGB_PRE
setEffect(effect);
Rectangle dstBounds = getResultBounds(transform, outputClip, inputs);
// Calculate the amount the image grows on each iteration (size-1)
boolean horizontal = (getPass() == 0);
int hinc = horizontal ? getEffect().getHorizontalSize() - 1 : 0;
int vinc = horizontal ? 0 : getEffect().getVerticalSize() - 1;
if (hinc < 0) hinc = 0;
if (vinc < 0) vinc = 0;
int iterations = getEffect().getPasses();
float spread = getEffect().getSpread();
if (horizontal && (iterations < 1 || (hinc < 1 && vinc < 1))) {
inputs[0].addref();
return inputs[0];
}
// Calculate the amount the image will grow through the full operation
// Always upgrade to the next even amount of growth
int growx = (hinc * iterations + 1) & (~0x1);
int growy = (vinc * iterations + 1) & (~0x1);
// Assert: ((FilterEffect) effect).operatesInUserSpace()...
// NOTE: We could still have a transformed ImageData for other reasons...
HeapImage src = (HeapImage)inputs[0].getUntransformedImage();
Rectangle srcr = inputs[0].getUntransformedBounds();
HeapImage cur = src;
int curw = srcr.width;
int curh = srcr.height;
int curscan = cur.getScanlineStride();
int[] curPixels = cur.getPixelArray();
int finalw = curw + growx;
int finalh = curh + growy;
boolean force = !horizontal;
while (force || curw < finalw || curh < finalh) {
int neww = curw + hinc;
int newh = curh + vinc;
if (neww > finalw) neww = finalw;
if (newh > finalh) newh = finalh;
HeapImage dst = (HeapImage)getRenderer().getCompatibleImage(neww, newh);
int newscan = dst.getScanlineStride();
int[] newPixels = dst.getPixelArray();
if (iterations == 0) {
// The last "fixup" iteration of 2 should have no spread.
spread = 0f;
}
if (horizontal) {
filterHorizontalBlack(newPixels, neww, newh, newscan,
curPixels, curw, curh, curscan,
spread);
} else if (neww < finalw || newh < finalh) {
// Use BLACK for shadow color until very last pass
filterVerticalBlack(newPixels, neww, newh, newscan,
curPixels, curw, curh, curscan,
spread);
} else {
float shadowColor[] =
getEffect().getColor().getPremultipliedRGBComponents();
if (shadowColor[3] == 1f &&
shadowColor[0] == 0f &&
shadowColor[1] == 0f &&
shadowColor[2] == 0f)
{
filterVerticalBlack(newPixels, neww, newh, newscan,
curPixels, curw, curh, curscan,
spread);
} else {
filterVertical(newPixels, neww, newh, newscan,
curPixels, curw, curh, curscan,
spread, shadowColor);
}
}
if (cur != src) {
getRenderer().releaseCompatibleImage(cur);
}
iterations--;
force = false;
cur = dst;
curw = neww;
curh = newh;
curPixels = newPixels;
curscan = newscan;
}
Rectangle resBounds =
new Rectangle(srcr.x - growx/2, srcr.y - growy/2, curw, curh);
return new ImageData(getFilterContext(), cur, resBounds);
}
protected void filterHorizontalBlack(int dstPixels[], int dstw, int dsth, int dstscan,
int srcPixels[], int srcw, int srch, int srcscan,
float spread)
{
int hsize = dstw - srcw + 1;
// amax goes from hsize*255 to 255 as spread goes from 0 to 1
int amax = hsize * 255;
amax += (255 - amax) * spread;
int kscale = 0x7fffffff / amax;
int amin = (amax / 255);
int srcoff = 0;
int dstoff = 0;
for (int y = 0; y < dsth; y++) {
int suma = 0;
for (int x = 0; x < dstw; x++) {
int rgb;
// Un-accumulate the data for col-hsize location into the sums.
rgb = (x >= hsize) ? srcPixels[srcoff + x - hsize] : 0;
suma -= (rgb >>> 24);
// Accumulate the data for this col location into the sums.
rgb = (x < srcw) ? srcPixels[srcoff + x] : 0;
suma += (rgb >>> 24);
// Clamp, scale and convert the sum into a color.
dstPixels[dstoff + x] =
((suma < amin) ? 0
: ((suma >= amax) ? 0xff000000
: (((suma * kscale) >> 23) << 24)));
}
srcoff += srcscan;
dstoff += dstscan;
}
}
protected void filterVerticalBlack(int dstPixels[], int dstw, int dsth, int dstscan,
int srcPixels[], int srcw, int srch, int srcscan,
float spread)
{
int vsize = dsth - srch + 1;
// amax goes from hsize*255 to 255 as spread goes from 0 to 1
int amax = vsize * 255;
amax += (255 - amax) * spread;
int kscale = 0x7fffffff / amax;
int amin = (amax / 255);
int voff = vsize * srcscan;
for (int x = 0; x < dstw; x++) {
int suma = 0;
int srcoff = x;
int dstoff = x;
for (int y = 0; y < dsth; y++) {
int rgb;
// Un-accumulate the data for row-vsize location into the sums.
rgb = (srcoff >= voff) ? srcPixels[srcoff - voff] : 0;
suma -= (rgb >>> 24);
// Accumulate the data for this row location into the sums.
rgb = (y < srch) ? srcPixels[srcoff] : 0;
suma += (rgb >>> 24);
// Clamp, scale and convert the sum into a color.
dstPixels[dstoff] =
((suma < amin) ? 0
: ((suma >= amax) ? 0xff000000
: (((suma * kscale) >> 23) << 24)));
srcoff += srcscan;
dstoff += dstscan;
}
}
}
protected void filterVertical(int dstPixels[], int dstw, int dsth, int dstscan,
int srcPixels[], int srcw, int srch, int srcscan,
float spread, float shadowColor[])
{
int vsize = dsth - srch + 1;
// amax goes from hsize*255 to 255 as spread goes from 0 to 1
int amax = vsize * 255;
amax += (255 - amax) * spread;
int kscalea = 0x7fffffff / amax;
int kscaler = (int) (kscalea * shadowColor[0]);
int kscaleg = (int) (kscalea * shadowColor[1]);
int kscaleb = (int) (kscalea * shadowColor[2]);
kscalea *= shadowColor[3];
int amin = (amax / 255);
int voff = vsize * srcscan;
int shadowRGB =
(((int) (shadowColor[0] * 255)) << 16) |
(((int) (shadowColor[1] * 255)) << 8) |
(((int) (shadowColor[2] * 255)) ) |
(((int) (shadowColor[3] * 255)) << 24);
for (int x = 0; x < dstw; x++) {
int suma = 0;
int srcoff = x;
int dstoff = x;
for (int y = 0; y < dsth; y++) {
int rgb;
// Un-accumulate the data for row-vsize location into the sums.
rgb = (srcoff >= voff) ? srcPixels[srcoff - voff] : 0;
suma -= (rgb >>> 24);
// Accumulate the data for this row location into the sums.
rgb = (y < srch) ? srcPixels[srcoff] : 0;
suma += (rgb >>> 24);
// Clamp, scale and convert the sum into a color.
dstPixels[dstoff] =
((suma < amin) ? 0
: ((suma >= amax) ? shadowRGB
: ((((suma * kscalea) >> 23) << 24) |
(((suma * kscaler) >> 23) << 16) |
(((suma * kscaleg) >> 23) << 8) |
(((suma * kscaleb) >> 23) ))));
srcoff += srcscan;
dstoff += dstscan;
}
}
}
/*
* This is a useful routine for some uses - it goes faster than the
* horizontal-only and vertical-only loops, but it is hard to use it
* in the face of multi-pass box blurs and having to adjust for even
* blur sizes, so it is commented out for now...
private void filterTranspose(int dstPixels[], int dstw, int dsth, int dstscan,
int srcPixels[], int srcw, int srch, int srcscan,
int ksize)
{
int kscale = 0x7fffffff / (ksize * 255);
int srcoff = 0;
for (int y = 0; y < dstw; y++) {
int suma = 0;
int dstoff = y;
for (int x = 0; x < dsth; x++) {
int rgb;
// Un-accumulate the data for col-ksize location into the sums.
rgb = (x >= ksize) ? srcPixels[srcoff + x - ksize] : 0;
suma -= (rgb >>> 24);
// Accumulate the data for this col location into the sums.
rgb = (x < srcw) ? srcPixels[srcoff + x] : 0;
suma += (rgb >>> 24);
dstPixels[dstoff] = (((suma * kscale) >> 23) << 24);
dstoff += dstscan;
}
srcoff += srcscan;
}
}
*/
}