Shrinking an image by skipping pixels : Image « 2D Graphics « Java Tutorial

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Java Tutorial » 2D Graphics » Image   16. 26. 24. Shrinking an image by skipping pixels import java.awt.image.BufferedImage; public class Main {   static BufferedImage enlarge(BufferedImage image, int n) {     int w = image.getWidth() / n;     int h = image.getHeight() / n;     BufferedImage shrunkImage = new BufferedImage(w, h, image.getType());     for (int y = 0; y < h; ++y)       for (int x = 0; x < w; ++x)         shrunkImage.setRGB(x, y, image.getRGB(x * n, y * n));     return shrunkImage;   } } 16. 26. Image 16. 26. 1.  Draw Image 16. 26. 2.  Resize an image 16. 26. 3.  Load Image and scale it 16. 26. 4.  Flush an image 16. 26. 5.  Reading an Image or Icon from a File 16. 26. 6.  Get the dimensions of the image; these will be non-negative 16. 26. 7.  Draw an Icon object 16. 26. 8.  Scaling a Drawn Image 16. 26. 9.  Shearing a Drawn Image 16. 26. 10.  Rotating a Drawn Image 16. 26. 11.  Translating a Drawn Image 16. 26. 12.  Creates PNG images of the specified color that fade from fully opaque to fully transparent 16. 26. 13.  Determining If an Image Has Transparent Pixels 16. 26. 14.  Getting the Color Model of an Image 16. 26. 15.  Filtering the RGB Values in an Image 16. 26. 16.  Flip an image 16. 26. 17.  Blur our image: Blur means an unfocused image 16. 26. 18.  A reflected image: effect makes an illusion as if the image was reflected in water 16. 26. 19.  Use PixelGrabber class to acquire pixel data from an Image object 16. 26. 20.  Calculation of the mean value of an image 16. 26. 21.  This filter removes all but the red values in an image 16. 26. 22.  Using mediatracker to pre-load images 16. 26. 23.  Create a grayscale image with Java 2D tools 16. 26. 24.  Shrinking an image by skipping pixels 16. 26. 25.  Get average of a set of images 16. 26. 26.  Enlarging an image by pixel replication 16. 26. 27.  A 3x3 kernel that blurs an image. 16. 26. 28.  A 3x3 kernel that sharpens an image. 16. 26. 29.  A 3x3 kernel that embosses an image. 16. 26. 30.  Brighten the image by 30% 16. 26. 31.  Darken the image by 10% 16. 26. 32.  Create a filter that can modify any of the RGB pixel values in an image. 16. 26. 33.  Gray scale image operation