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在Java中将灰度转换为颜色渐变?

是否有任何通用算法或提供的类用于将灰度值(0-255)映射到颜色渐变中的值?我在想这样的事情:

   public Color mapGrayscaleValue (byte value, Color[] gradientColors);

我希望这能为我提供的灰度云层覆盖雷达图像提供更清晰的亮点


共 (2) 个答案

  1. # 1 楼答案

    经过思考,我只是创建了一个255x1 BuffereImage,然后使用GradientPaint类为自己创建了一个颜色查找表。使用这种方法,我甚至可以加载手动创建的颜色表。对于其他人:

    // Set up the reference image that will be used as the color map
    
    int width = 255;
    int height = 1;
    
    BufferedImage colorGradientImage = new BufferedImage(width, height, BufferedImage.TYPE_INT_RGB);
    
    Graphics2D g2 = (Graphics2D) colorGradientImage.getGraphics();
    
    Paint p = new LinearGradientPaint(
                0, 0, width, 0, new float[] { 0.0f, 0.7f, 0.8f },
                new Color[] { Color.YELLOW, Color.BLUE, Color.RED }
                );
    
    g2.setPaint(p);
    g2.fillRect(0, 0, width, height);
    
    g2.dispose();
    
    // Now process the data, using the colour map we created above for the colour values
    
    // pixel data is matrix of values, from 0-255
    int[][] pixelData = getSourceValues();
    
    BufferedImage myImage = new BufferedImage(pixelData[0].length, pixelData.length, BufferedImage.TYPE_INT_RGB);
    for (int y=0; y<pixelData.length; y++) {
       for (int x=0; x<myImage[y].length; x++) {
           myImage.setRGB(x,y, colorGradientImage.getRGB(pixelData,0));
       }
    }
    

    我可能已经将colorGradientImage转换为255长度的数组,但现在这就可以了

    如果有人知道另一种或更好的方法,我总是很感兴趣

  2. # 2 楼答案

    如果您正在使用java.awt.image,那么应该查看^{}。它(我认为)正是你想要的

    您需要以某种方式为渐变生成256个RGB值,并围绕它们创建一个模型,然后可以使用新模型从灰度光栅创建BufferedImage

    下面是一个简单明了的例子:

    index color model ex

    import javax.swing.*;
    import java.awt.*;
    import java.awt.image.*;
    import javax.imageio.*;
    import java.net.*;
    
    class ColorModelEx implements Runnable {
        public static void main(String[] args) {
            SwingUtilities.invokeLater(new ColorModelEx());
        }
    
        @Override
        public void run() {
            JFrame frame = new JFrame();
            JLabel label;
            try {
                label = new JLabel(new ImageIcon(createImage(
                    Color.yellow, Color.red, Color.blue)));
            } catch (Exception e) {
                throw new AssertionError(e);
            }
    
            frame.add(label);
            frame.pack();
            frame.setResizable(false);
            frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
            frame.setVisible(true);
        }
    
        static BufferedImage createImage(Color... colors) throws Exception {
            if ((256 % (colors.length - 1)) != 0)
                throw new IllegalArgumentException();
    
            BufferedImage original =
                ImageIO.read(new URL("http://i.stack.imgur.com/7bI1Y.jpg"));
    
            final int w = original.getWidth();
            final int h = original.getHeight();
    
            BufferedImage gray =
                new BufferedImage(w, h, BufferedImage.TYPE_BYTE_GRAY);
            Graphics2D g2 = gray.createGraphics();
            g2.drawImage(original, 0, 0, null);
    
            byte[] r = new byte[256];
            byte[] g = new byte[256];
            byte[] b = new byte[256];
    
            final int fade = (256 / (colors.length - 1));
    
            // (generate all 256 RGB values by
            // fading between the colors supplied)
            for (int i = 0; i < 256; ++i) {
                Color c0 = colors[(i / fade)];
                Color c1 = colors[(i / fade) + 1];
    
                float amt = (i % fade) / ((float) fade);
    
                r[i] = getChannel(amt, c0.getRed(),   c1.getRed());
                g[i] = getChannel(amt, c0.getGreen(), c1.getGreen());
                b[i] = getChannel(amt, c0.getBlue(),  c1.getBlue());
            }
    
            // (remap same pixels to new model)
            return new BufferedImage(
                new IndexColorModel(8, 256, r, g, b),
                gray.getRaster(), false, null);
        }
    
        static byte getChannel(float amt, int ch0, int ch1) {
            return (byte)
                ((ch0 * (1 - amt)) + (ch1 * amt));
        }
    }
    

    (来自here的图像。)

    其他一些有用的地方: