public static boolean compressPic(String srcFilePath, String descFilePath) {
File file = null;
BufferedImage src = null;
FileOutputStream out = null;
ImageWriter imgWrier;
ImageWriteParam imgWriteParams;
// 指定写图片的方式为 jpg
imgWrier = ImageIO.getImageWritersByFormatName("jpg").next();
imgWriteParams = new javax.imageio.plugins.jpeg.JPEGImageWriteParam(null);
// 要使用压缩，必须指定压缩方式为MODE_EXPLICIT
imgWriteParams.setCompressionMode(imgWriteParams.MODE_EXPLICIT);
// 这里指定压缩的程度，参数qality是取值0~1范围内，
imgWriteParams.setCompressionQuality((float) 0.1);
imgWriteParams.setProgressiveMode(imgWriteParams.MODE_DISABLED);
ColorModel colorModel = ColorModel.getRGBdefault();
// 指定压缩时使用的色彩模式
imgWriteParams.setDestinationType(
new javax.imageio.ImageTypeSpecifier(
colorModel, colorModel.createCompatibleSampleModel(16, 16)));
try {
if (StringUtils.isBlank(srcFilePath)) {
return false;
} else {
file = new File(srcFilePath);
src = ImageIO.read(file);
out = new FileOutputStream(descFilePath);
imgWrier.reset();
// 必须先指定 out值，才能调用write方法, ImageOutputStream可以通过任何 OutputStream构造
imgWrier.setOutput(ImageIO.createImageOutputStream(out));
// 调用write方法，就可以向输入流写图片
imgWrier.write(null, new IIOImage(src, null, null), imgWriteParams);
out.flush();
out.close();
}
} catch (Exception e) {
e.printStackTrace();
return false;
}
return true;
}
// This method returns true if the specified image has transparent pixels
// Source: http://www.exampledepot.com/egs/java.awt.image/HasAlpha.html
public static boolean hasAlpha(Image image) {
// If buffered image, the color model is readily available
if (image instanceof BufferedImage) {
BufferedImage bimage = (BufferedImage) image;
return bimage.getColorModel().hasAlpha();
}
// Use a pixel grabber to retrieve the image's color model;
// grabbing a single pixel is usually sufficient
PixelGrabber pg = new PixelGrabber(image, 0, 0, 1, 1, false);
try {
pg.grabPixels();
} catch (InterruptedException e) {
}
// Get the image's color model
ColorModel cm = pg.getColorModel();
return cm.hasAlpha();
}
/**
* PS see http://astronomy.swin.edu.au/~pbourke/geomformats/postscript/ Java
* http://show.docjava.com:8086/book/cgij/doc/ip/graphics/SimpleImageFrame.java.html
*/
public boolean drawImage(
Image img, int x, int y, int width, int height, Color bgcolor, ImageObserver observer) {
try {
// get data from image
int[] pixels = new int[width * height];
PixelGrabber grabber = new PixelGrabber(img, 0, 0, width, height, pixels, 0, width);
grabber.grabPixels();
ColorModel model = ColorModel.getRGBdefault();
// print data to ps
m_printstream.println("gsave");
m_printstream.println(
xTransform(xScale(x)) + " " + (yTransform(yScale(y)) - yScale(height)) + " translate");
m_printstream.println(xScale(width) + " " + yScale(height) + " scale");
m_printstream.println(
width + " " + height + " " + "8" + " [" + width + " 0 0 " + (-height) + " 0 " + height
+ "]");
m_printstream.println("{<");
int index;
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
index = i * width + j;
m_printstream.print(toHex(model.getRed(pixels[index])));
m_printstream.print(toHex(model.getGreen(pixels[index])));
m_printstream.print(toHex(model.getBlue(pixels[index])));
}
m_printstream.println();
}
m_printstream.println(">}");
m_printstream.println("false 3 colorimage");
m_printstream.println("grestore");
return true;
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
private void readHeader() throws IOException {
if (gotHeader) {
iis.seek(128);
return;
}
metadata = new PCXMetadata();
manufacturer = iis.readByte(); // manufacturer
if (manufacturer != MANUFACTURER) throw new IllegalStateException("image is not a PCX file");
metadata.version = iis.readByte(); // version
encoding = iis.readByte(); // encoding
if (encoding != ENCODING)
throw new IllegalStateException("image is not a PCX file, invalid encoding " + encoding);
metadata.bitsPerPixel = iis.readByte();
metadata.xmin = iis.readShort();
metadata.ymin = iis.readShort();
xmax = iis.readShort();
ymax = iis.readShort();
metadata.hdpi = iis.readShort();
metadata.vdpi = iis.readShort();
iis.readFully(smallPalette);
iis.readByte(); // reserved
colorPlanes = iis.readByte();
bytesPerLine = iis.readShort();
paletteType = iis.readShort();
metadata.hsize = iis.readShort();
metadata.vsize = iis.readShort();
iis.skipBytes(54); // skip filler
width = xmax - metadata.xmin + 1;
height = ymax - metadata.ymin + 1;
if (colorPlanes == 1) {
if (paletteType == PALETTE_GRAYSCALE) {
ColorSpace cs = ColorSpace.getInstance(ColorSpace.CS_GRAY);
int[] nBits = {8};
colorModel =
new ComponentColorModel(
cs, nBits, false, false, Transparency.OPAQUE, DataBuffer.TYPE_BYTE);
sampleModel =
new ComponentSampleModel(DataBuffer.TYPE_BYTE, width, height, 1, width, new int[] {0});
} else {
if (metadata.bitsPerPixel == 8) {
// read palette from end of file, then reset back to image data
iis.mark();
if (iis.length() == -1) {
// read until eof, and work backwards
while (iis.read() != -1) ;
iis.seek(iis.getStreamPosition() - 256 * 3 - 1);
} else {
iis.seek(iis.length() - 256 * 3 - 1);
}
int palletteMagic = iis.read();
if (palletteMagic != 12)
processWarningOccurred(
"Expected palette magic number 12; instead read "
+ palletteMagic
+ " from this image.");
iis.readFully(largePalette);
iis.reset();
colorModel = new IndexColorModel(metadata.bitsPerPixel, 256, largePalette, 0, false);
sampleModel = colorModel.createCompatibleSampleModel(width, height);
} else {
int msize = metadata.bitsPerPixel == 1 ? 2 : 16;
colorModel = new IndexColorModel(metadata.bitsPerPixel, msize, smallPalette, 0, false);
sampleModel = colorModel.createCompatibleSampleModel(width, height);
}
}
} else {
ColorSpace cs = ColorSpace.getInstance(ColorSpace.CS_sRGB);
int[] nBits = {8, 8, 8};
colorModel =
new ComponentColorModel(
cs, nBits, false, false, Transparency.OPAQUE, DataBuffer.TYPE_BYTE);
sampleModel =
new ComponentSampleModel(
DataBuffer.TYPE_BYTE,
width,
height,
1,
width * colorPlanes,
new int[] {0, width, width * 2});
}
originalSampleModel = sampleModel;
originalColorModel = colorModel;
gotHeader = true;
}
public void write(BufferedImage image, AVList params) throws IOException {
if (image == null) {
String msg = Logging.getMessage("nullValue.ImageSource");
Logging.logger().severe(msg);
throw new IllegalArgumentException(msg);
}
if (0 == image.getWidth() || 0 == image.getHeight()) {
String msg =
Logging.getMessage("generic.InvalidImageSize", image.getWidth(), image.getHeight());
Logging.logger().severe(msg);
throw new IllegalArgumentException(msg);
}
if (null == params || 0 == params.getValues().size()) {
String reason = Logging.getMessage("nullValue.AVListIsNull");
Logging.logger().finest(Logging.getMessage("GeotiffWriter.GeoKeysMissing", reason));
params = new AVListImpl();
} else {
this.validateParameters(params, image.getWidth(), image.getHeight());
}
// how we proceed in part depends upon the image type...
int type = image.getType();
// handle CUSTOM type which comes from our GeoTiffreader (for now)
if (BufferedImage.TYPE_CUSTOM == type) {
int numColorComponents = 0, numComponents = 0, pixelSize = 0, dataType = 0, csType = 0;
boolean hasAlpha = false;
if (null != image.getColorModel()) {
ColorModel cm = image.getColorModel();
numColorComponents = cm.getNumColorComponents();
numComponents = cm.getNumComponents();
pixelSize = cm.getPixelSize();
hasAlpha = cm.hasAlpha();
ColorSpace cs = cm.getColorSpace();
if (null != cs) csType = cs.getType();
}
if (null != image.getSampleModel()) {
SampleModel sm = image.getSampleModel();
dataType = sm.getDataType();
}
if (dataType == DataBuffer.TYPE_FLOAT && pixelSize == Float.SIZE && numComponents == 1) {
type = BufferedImage_TYPE_ELEVATION_FLOAT32;
} else if (dataType == DataBuffer.TYPE_SHORT
&& pixelSize == Short.SIZE
&& numComponents == 1) {
type = BufferedImage_TYPE_ELEVATION_SHORT16;
} else if (ColorSpace.CS_GRAY == csType && pixelSize == Byte.SIZE) {
type = BufferedImage.TYPE_BYTE_GRAY;
} else if (dataType == DataBuffer.TYPE_USHORT
&& ColorSpace.CS_GRAY == csType
&& pixelSize == Short.SIZE) {
type = BufferedImage.TYPE_USHORT_GRAY;
} else if (ColorSpace.TYPE_RGB == csType
&& pixelSize == 3 * Byte.SIZE
&& numColorComponents == 3) {
type = BufferedImage.TYPE_3BYTE_BGR;
} else if (ColorSpace.TYPE_RGB == csType
&& hasAlpha
&& pixelSize == 4 * Byte.SIZE
&& numComponents == 4) {
type = BufferedImage.TYPE_4BYTE_ABGR;
}
}
switch (type) {
case BufferedImage.TYPE_3BYTE_BGR:
case BufferedImage.TYPE_4BYTE_ABGR:
case BufferedImage.TYPE_4BYTE_ABGR_PRE:
case BufferedImage.TYPE_INT_RGB:
case BufferedImage.TYPE_INT_BGR:
case BufferedImage.TYPE_INT_ARGB:
case BufferedImage.TYPE_INT_ARGB_PRE:
{
this.writeColorImage(image, params);
}
break;
case BufferedImage.TYPE_USHORT_GRAY:
case BufferedImage.TYPE_BYTE_GRAY:
{
this.writeGrayscaleImage(image, params);
}
break;
case BufferedImage_TYPE_ELEVATION_SHORT16:
case BufferedImage_TYPE_ELEVATION_FLOAT32:
{
String msg = Logging.getMessage("GeotiffWriter.FeatureNotImplementedd", type);
Logging.logger().severe(msg);
throw new IllegalArgumentException(msg);
}
// break;
case BufferedImage.TYPE_CUSTOM:
default:
{
ColorModel cm = image.getColorModel();
SampleModel sm = image.getSampleModel();
StringBuffer sb =
new StringBuffer(Logging.getMessage("GeotiffWriter.UnsupportedType", type));
sb.append("\n");
sb.append("NumBands=").append(sm.getNumBands()).append("\n");
sb.append("NumDataElements=").append(sm.getNumDataElements()).append("\n");
sb.append("NumColorComponents=").append(cm.getNumColorComponents()).append("\n");
sb.append("NumComponents=").append(cm.getNumComponents()).append("\n");
sb.append("PixelSize=").append(cm.getPixelSize()).append("\n");
sb.append("hasAlpha=").append(cm.hasAlpha());
String msg = sb.toString();
Logging.logger().severe(msg);
throw new IllegalArgumentException(msg);
}
}
}
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);
}
