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/*
 * http://blog.csdn.net/the3gwireless
 *
 * 图像灰度显示的方法1
 */
public static Image grayRGB(Image image) {
    // System.out.println("reverseRGB IN");
    int width = image.getWidth();
    int height = image.getHeight();
    // 获得图像的ARGB数据,存储在rawInt里
    int[] raw = null;
    try {
        raw = new int[width * height];
        image.getRGB(raw, 0, width, 0, 0, width, height);
        int len = raw.length;
        // 开始循环，获得图像里每个像素的颜色，然后处理
        for (int i = 0; i < len; i++) {
            // 获得像素的颜色
            int color = raw[i];
            // System.out.println(Integer.toHexString(color));
            // 获得alpha
            int alpha = 0xFF;
            // System.out.println(Integer.toHexString(alpha));
            // 获得红色
            int red = (color & 0x00FF0000) >> 16;
            // System.out.println(Integer.toHexString(red));
            // 获得绿色
            int green = (color & 0x0000FF00) >> 8;
            // System.out.println(Integer.toHexString(green));
            // 获得蓝色
            int blue = (color & 0x000000FF);
            // System.out.println(Integer.toHexString(blue));
            // 将红黄蓝转换成灰度值，网上找到的算法
            int gray = (int) (red * 0.3 + green * 0.59 + blue * 0.11);
            // System.out.println(gray);
            red = gray;
            green = gray;
            blue = gray;
            // 生成新颜色
            // System.out.println(Integer.toHexString((alpha << 24)+ (red <<
            // 16)+(green << 8)));
            color = (alpha << 24) + (red << 16) + (green << 8) + blue;
            // System.out.println(Integer.toHexString(color));
            raw[i] = color;
        }
        // System.out.println("blendRGB OUT");
        return Image.createRGBImage(raw, width, height, true);
 
    } catch (Error e) {
        // e.printStackTrace();
        ImageAlbum.showAlert("图像尺寸太大,不能完成此操作.");
        return image;
    } catch (Exception e) {
        e.printStackTrace();
        return image;
    } finally {
        raw = null;
    }
}
 
/*
 *
 *
 * 图像灰度显示的方法2
 */
public static Image grayRGB2(Image image) {
    // System.out.println("reverseRGB IN");
    int width = image.getWidth();
    int height = image.getHeight();
    // 获得图像的ARGB数据,存储在rawInt里
    int[] raw = null;
    try {
        raw = new int[width * height];
        image.getRGB(raw, 0, width, 0, 0, width, height);
        int len = raw.length;
        // 开始循环，获得图像里每个像素的颜色，然后处理
        for (int i = 0; i < len; i++) {
            // 获得像素的颜色
            int color = raw[i];
            // System.out.println(Integer.toHexString(color));
            // 获得alpha
            int alpha = 0xFF;
            // System.out.println(Integer.toHexString(alpha));
            // 获得红色
            int red = (color & 0x00FF0000) >> 16;
            // System.out.println(Integer.toHexString(red));
            // 获得绿色
            int green = (color & 0x0000FF00) >> 8;
            // System.out.println(Integer.toHexString(green));
            // 获得蓝色
            int blue = (color & 0x000000FF);
            // System.out.println(Integer.toHexString(blue));
            // 将红黄蓝转换成灰度值，网上找到的算法
            int max = 0;
            if (red > green) {
                max = red;
            } else {
                max = green;
            }
            if (max > blue) {
            } else {
                max = blue;
            }
            // System.out.println(gray);
            red = max;
            green = max;
            blue = max;
            // 生成新颜色
            // System.out.println(Integer.toHexString((alpha << 24)+ (red <<
            // 16)+(green << 8)));
            color = (alpha << 24) + (red << 16) + (green << 8) + blue;
            // System.out.println(Integer.toHexString(color));
            raw[i] = color;
        }
        // System.out.println("blendRGB OUT");
        return Image.createRGBImage(raw, width, height, true);
 
    } catch (Error e) {
        // e.printStackTrace();
        ImageAlbum.showAlert("图像尺寸太大,不能完成此操作.");
        return image;
    } catch (Exception e) {
        e.printStackTrace();
        return image;
    } finally {
        raw = null;
    }
}

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