/**
* Makes the Mandelbrot image.
*
* @param width the width
* @parah height the height
* @return the image
*/
public BufferedImage makeMandelbrot(int width, int height) {
BufferedImage image = new BufferedImage(width, height, BufferedImage.TYPE_INT_ARGB);
WritableRaster raster = image.getRaster();
ColorModel model = image.getColorModel();
Color fractalColor = Color.red;
int argb = fractalColor.getRGB();
Object colorData = model.getDataElements(argb, null);
for (int i = 0; i < width; i++)
for (int j = 0; j < height; j++) {
double a = XMIN + i * (XMAX - XMIN) / width;
double b = YMIN + j * (YMAX - YMIN) / height;
if (!escapesToInfinity(a, b)) raster.setDataElements(i, j, colorData);
}
return image;
}
/**
* Paint the image onto a Graphics object. The painting is performed tile-by-tile, and includes a
* grey region covering the unused portion of image tiles as well as the general background. At
* this point the image must be byte data.
*/
public synchronized void paintComponent(Graphics g) {
Graphics2D g2D = null;
if (g instanceof Graphics2D) {
g2D = (Graphics2D) g;
} else {
return;
}
// if source is null, it's just a component
if (source == null) {
g2D.setColor(getBackground());
g2D.fillRect(0, 0, componentWidth, componentHeight);
return;
}
int transX = -originX;
int transY = -originY;
// Get the clipping rectangle and translate it into image coordinates.
Rectangle clipBounds = g.getClipBounds();
if (clipBounds == null) {
clipBounds = new Rectangle(0, 0, componentWidth, componentHeight);
}
// clear the background (clip it) [minimal optimization here]
if (transX > 0
|| transY > 0
|| transX < (componentWidth - source.getWidth())
|| transY < (componentHeight - source.getHeight())) {
g2D.setColor(getBackground());
g2D.fillRect(0, 0, componentWidth, componentHeight);
}
clipBounds.translate(-transX, -transY);
// Determine the extent of the clipping region in tile coordinates.
int txmin, txmax, tymin, tymax;
int ti, tj;
txmin = XtoTileX(clipBounds.x);
txmin = Math.max(txmin, minTileX);
txmin = Math.min(txmin, maxTileX);
txmax = XtoTileX(clipBounds.x + clipBounds.width - 1);
txmax = Math.max(txmax, minTileX);
txmax = Math.min(txmax, maxTileX);
tymin = YtoTileY(clipBounds.y);
tymin = Math.max(tymin, minTileY);
tymin = Math.min(tymin, maxTileY);
tymax = YtoTileY(clipBounds.y + clipBounds.height - 1);
tymax = Math.max(tymax, minTileY);
tymax = Math.min(tymax, maxTileY);
Insets insets = getInsets();
// Loop over tiles within the clipping region
for (tj = tymin; tj <= tymax; tj++) {
for (ti = txmin; ti <= txmax; ti++) {
int tx = TileXtoX(ti);
int ty = TileYtoY(tj);
Raster tile = source.getTile(ti, tj);
if (tile != null) {
DataBuffer dataBuffer = tile.getDataBuffer();
WritableRaster wr = tile.createWritableRaster(sampleModel, dataBuffer, null);
BufferedImage bi =
new BufferedImage(colorModel, wr, colorModel.isAlphaPremultiplied(), null);
// correctly handles band offsets
if (brightnessEnabled == true) {
SampleModel sm =
sampleModel.createCompatibleSampleModel(tile.getWidth(), tile.getHeight());
WritableRaster raster = RasterFactory.createWritableRaster(sm, null);
BufferedImage bimg =
new BufferedImage(colorModel, raster, colorModel.isAlphaPremultiplied(), null);
// don't move this code
ByteLookupTable lutTable = new ByteLookupTable(0, lutData);
LookupOp lookup = new LookupOp(lutTable, null);
lookup.filter(bi, bimg);
g2D.drawImage(bimg, biop, tx + transX + insets.left, ty + transY + insets.top);
} else {
AffineTransform transform;
transform =
AffineTransform.getTranslateInstance(
tx + transX + insets.left, ty + transY + insets.top);
g2D.drawRenderedImage(bi, transform);
}
}
}
}
}
public void actionPerformed(ActionEvent evt) {
Graphics g = getGraphics();
if (evt.getSource() == openItem) {
JFileChooser chooser = new JFileChooser();
common.chooseFile(chooser, "./images", 0); // 设置默认目录,过滤文件
int r = chooser.showOpenDialog(null);
if (r == JFileChooser.APPROVE_OPTION) {
String name = chooser.getSelectedFile().getAbsolutePath();
// 装载图像
iImage = common.openImage(name, new MediaTracker(this));
// 取载入图像的宽和高
iw = iImage.getWidth(null);
ih = iImage.getHeight(null);
bImage = new BufferedImage(iw, ih, BufferedImage.TYPE_INT_RGB);
Graphics2D g2 = bImage.createGraphics();
g2.drawImage(iImage, 0, 0, null);
loadflag = true;
repaint();
}
} else if (evt.getSource() == rotateItem) // 内置旋转
{
setTitle("第4章 图像几何变换 内置旋转 作者 孙燮华");
common.draw(g, iImage, bImage, common.getParam("旋转角(度):", "30"), 0, 0);
} else if (evt.getSource() == scaleItem) // 内置缩放
{
setTitle("第4章 图像几何变换 内置缩放 作者 孙燮华");
// 参数选择面板
Parameters pp = new Parameters("参数", "x方向:", "y方向:", "1.5", "1.5");
setPanel(pp, "内置缩放");
float x = pp.getPadx();
float y = pp.getPady();
common.draw(g, iImage, bImage, x, y, 1);
} else if (evt.getSource() == shearItem) // 内置错切
{
setTitle("第4章 图像几何变换 内置错切 作者 孙燮华");
Parameters pp = new Parameters("参数", "x方向:", "y方向:", "0.5", "0.5");
setPanel(pp, "内置错切");
float x = pp.getPadx();
float y = pp.getPady();
common.draw(g, iImage, bImage, x, y, 2);
} else if (evt.getSource() == transItem) // 内置平移
{
setTitle("第4章 图像几何变换 内置平移 作者 孙燮华");
Parameters pp = new Parameters("参数", "x方向:", "y方向:", "100", "50");
setPanel(pp, "内置平移");
float x = pp.getPadx();
float y = pp.getPady();
common.draw(g, iImage, bImage, x, y, 3);
} else if (evt.getSource() == rotItem) // 旋转算法
{
setTitle("第4章 图像几何变换 旋转算法 作者 孙燮华");
pix = common.grabber(iImage, iw, ih);
// 旋转,输出图像宽高
int owh = (int) (Math.sqrt(iw * iw + ih * ih + 0.5));
opix = geom.imRotate(pix, common.getParam("旋转角(度):", "30"), iw, ih, owh);
// 将数组中的象素产生一个图像
MemoryImageSource memoryImage =
new MemoryImageSource(owh, owh, ColorModel.getRGBdefault(), opix, 0, owh);
oImage = createImage(memoryImage);
common.draw(g, iImage, oImage, iw, ih, owh, 4);
} else if (evt.getSource() == mirItem) // 镜象算法(type:5)
{
setTitle("第4章 图像几何变换 镜象算法 作者 孙燮华");
Parameters pp = new Parameters("选择镜象类型", "水平", "垂直");
setPanel(pp, "镜象算法");
pix = common.grabber(iImage, iw, ih);
opix = geom.imMirror(pix, iw, ih, pp.getRadioState());
ImageProducer ip = new MemoryImageSource(iw, ih, opix, 0, iw);
oImage = createImage(ip);
common.draw(g, iImage, oImage, iw, ih, 0, 5);
} else if (evt.getSource() == shrItem) // 错切算法(type:6)
{
setTitle("第4章 图像几何变换 错切算法 作者 孙燮华");
Parameters pp = new Parameters("参数", "x方向:", "y方向:", "0.5", "0.5");
setPanel(pp, "错切算法");
pix = common.grabber(iImage, iw, ih);
float shx = pp.getPadx();
float shy = pp.getPady();
// 计算包围盒的宽和高
int ow = (int) (iw + (ih - 1) * shx);
int oh = (int) ((iw - 1) * shy + ih);
if (shx > 0 && shy > 0) {
opix = geom.imShear(pix, shx, shy, iw, ih, ow, oh);
ImageProducer ip = new MemoryImageSource(ow, oh, opix, 0, ow);
oImage = createImage(ip);
common.draw(g, iImage, oImage, iw, ih, 0, 6);
} else JOptionPane.showMessageDialog(null, "参数必须为正数!");
} else if (evt.getSource() == trnItem) {
setTitle("第4章 图像几何变换 平移算法 作者 孙燮华");
Parameters pp = new Parameters("参数", "x方向:", "y方向:", "100", "50");
setPanel(pp, "平移算法");
pix = common.grabber(iImage, iw, ih);
int tx = (int) pp.getPadx();
int ty = (int) pp.getPady();
if (tx > 0 && ty > 0) {
int ow = iw + tx;
int oh = ih + ty;
opix = geom.imTrans(pix, tx, ty, iw, ih, ow, oh);
ImageProducer ip = new MemoryImageSource(ow, oh, opix, 0, ow);
oImage = createImage(ip);
common.draw(g, iImage, oImage, iw, ih, 0, 7);
} else JOptionPane.showMessageDialog(null, "参数必须为正数!");
} else if (evt.getSource() == nearItem) {
setTitle("第4章 图像几何变换 最邻近插值算法 作者 孙燮华");
pix = common.grabber(iImage, iw, ih);
float p =
(Float.valueOf(JOptionPane.showInputDialog(null, "输入缩放参数(0.1-3.0)", "1.50")))
.floatValue();
int ow = (int) (p * iw); // 计算目标图宽高
int oh = (int) (p * ih);
opix = geom.nearNeighbor(pix, iw, ih, ow, oh, p);
ImageProducer ip = new MemoryImageSource(ow, oh, opix, 0, ow);
oImage = createImage(ip);
common.draw(g, oImage, "最邻近插值", p);
} else if (evt.getSource() == linrItem) {
setTitle("第4章 图像几何变换 双线性插值算法 作者 孙燮华");
pix = common.grabber(iImage, iw, ih);
float p =
(Float.valueOf(JOptionPane.showInputDialog(null, "输入缩放参数(0.1-3.0)", "1.50")))
.floatValue();
int ow = (int) (p * iw); // 计算目标图宽高
int oh = (int) (p * ih);
opix = geom.bilinear(pix, iw, ih, ow, oh, p);
ImageProducer ip = new MemoryImageSource(ow, oh, opix, 0, ow);
oImage = createImage(ip);
common.draw(g, oImage, "双线性插值", p);
} else if (evt.getSource() == cubicItem) {
setTitle("第4章 图像几何变换 三次卷积插值算法 作者 孙燮华");
pix = common.grabber(iImage, iw, ih);
float p =
(Float.valueOf(JOptionPane.showInputDialog(null, "输入缩放参数(1.1-3.0)", "1.50")))
.floatValue();
if (p < 1) {
JOptionPane.showMessageDialog(null, "参数p必须大于1!");
return;
}
int ow = (int) (p * iw); // 计算目标图宽高
int oh = (int) (p * ih);
opix = geom.scale(pix, iw, ih, ow, oh, p, p);
ImageProducer ip = new MemoryImageSource(ow, oh, opix, 0, ow);
oImage = createImage(ip);
common.draw(g, oImage, "三次卷积插值", p);
} else if (evt.getSource() == okButton) dialog.dispose();
else if (evt.getSource() == exitItem) System.exit(0);
}
public int[] doContrast(int[] pix, int iw, int ih, double contrast)
{
ColorModel cm = ColorModel.getRGBdefault();
int r, g, b;
for(int i = 0; i < iw*ih; i++)
{
r = (int) (contrast>=0?cm.getRed(pix[i]) + (255-cm.getRed(pix[i]))*contrast:
cm.getRed(pix[i]) + cm.getRed(pix[i])*contrast);
g = (int) (contrast>=0?cm.getGreen(pix[i]) + (255-cm.getGreen(pix[i]))*contrast:
cm.getGreen(pix[i]) + cm.getGreen(pix[i])*contrast);
b = (int) (contrast>=0?cm.getBlue(pix[i]) + (255-cm.getBlue(pix[i]))*contrast:
cm.getBlue(pix[i]) + cm.getBlue(pix[i])*contrast);
pix[i] = 255 << 24|r << 16|g << 8|b;
}
System.out.println("contrast is: " + contrast);
return pix;
}