I have some old Java 2D code I want to reuse, but was wondering, is this the best way to get the highest quality images?
public static BufferedImage getScaled(BufferedImage imgSrc, Dimension dim) {
// This code ensures that all the pixels in the image are loaded.
Image scaled = imgSrc.getScaledInstance(
dim.width, dim.height, Image.SCALE_SMOOTH);
// This code ensures that all the pixels in the image are loaded.
Image temp = new ImageIcon(scaled).getImage();
// Create the buffered image.
BufferedImage bufferedImage = new BufferedImage(temp.getWidth(null),
temp.getHeight(null), BufferedImage.TYPE_INT_RGB);
// Copy image to buffered image.
Graphics g = bufferedImage.createGraphics();
// Clear background and paint the image.
g.setColor(Color.white);
g.fillRect(0, 0, temp.getWidth(null),temp.getHeight(null));
g.drawImage(temp, 0, 0, null);
g.dispose();
// j2d's image scaling quality is rather poor, especially when
// scaling down an image to a much smaller size. We'll post filter
// our images using a trick found at
// http://blogs.cocoondev.org/mpo/archives/003584.html
// to increase the perceived quality....
float origArea = imgSrc.getWidth() * imgSrc.getHeight();
float newArea = dim.width * dim.height;
if (newArea <= (origArea / 2.)) {
bufferedImage = blurImg(bufferedImage);
}
return bufferedImage;
}
public static BufferedImage blurImg(BufferedImage src) {
// soften factor - increase to increase blur strength
float softenFactor = 0.010f;
// convolution kernel (blur)
float[] softenArray = {
0, softenFactor, 0,
softenFactor, 1-(softenFactor*4), softenFactor,
0, softenFactor, 0};
Kernel kernel = new Kernel(3, 3, softenArray);
ConvolveOp cOp = new ConvolveOp(kernel, ConvolveOp.EDGE_NO_OP, null);
return cOp.filter(src, null);
}
