Java函数式接口在图像处理中的创意表达

import java.awt.image.BufferedImage;

// 定义灰度转换函数
Function<BufferedImage, BufferedImage> grayscale = image -> {
    BufferedImage grayscaleImage = new BufferedImage(image.getWidth(), image.getHeight(), BufferedImage.TYPE_BYTE_GRAY);

    for (int x = 0; x < image.getWidth(); x++) {
        for (int y = 0; y < image.getHeight(); y++) {
            int rgb = image.getRGB(x, y);
            int grayLevel = (rgb >> 16) & 0xFF; // 获取红色分量
            grayscaleImage.setRGB(x, y, (grayLevel << 16) | (grayLevel << 8) | grayLevel);
        }
    }
    return grayscaleImage;
};

// 获取原始图像
BufferedImage originalImage = ImageIO.read(new File("image.jpg"));

// 应用灰度转换
BufferedImage grayscaleImage = grayscale.apply(originalImage);

// 保存灰度图像
ImageIO.write(grayscaleImage, "jpg", new File("grayscale.jpg"));

// 使用 lambda 表达式将 RGB 图像转换为灰度图像
Function<BufferedImage, BufferedImage> grayscale = image -> {
    return new BufferedImage(image.getWidth(), image.getHeight(), BufferedImage.TYPE_BYTE_GRAY)
        .newBuilder()
        .from(image)
        .op((x, y, rgba) -> ((rgba & 0xFF0000) >> 16))
        .into((x, y, v, dst) -> dst[y * dst.getWidth() + x] = (v << 16) | (v << 8) | v)
        .build();
};