J'ai un vieux code Java 2D que je veux réutiliser, mais je me demandais si c'était la meilleure façon d'obtenir des images de la plus haute qualité.
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);
}
