开源的Java图片处理库实例详解

import net.coobird.thumbnailator.Thumbnailator;
import net.coobird.thumbnailator.geometry.Positions;
import net.coobird.thumbnailator.geometry.Thumbnails;
import net.coobird.thumbnailator.filters.PngFilter;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.IOException;
public class ThumbnailatorExample {
    public static void main(String[] args) {
        try {
            // 读取源图像
            BufferedImage originalImage = Thumbnailator.readImage(new File("original.jpg"));
            // 创建缩略图配置
            Thumbnails.Builder<BufferedImage> thumbnailBuilder = Thumbnails.of(originalImage)
                    .size(128, 128)
                    .outputFormat("JPEG")
                    .outputQuality(0.75f);
            // 添加滤镜
            thumbnailBuilder.filter(PngFilter.class);
            // 生成缩略图
            BufferedImage thumbnail = thumbnailBuilder
                    .sourceRegion(Positions.CENTER, 128, 128)
                    .build();
            // 保存缩略图
            thumbnail.getGraphics().drawImage(thumbnail, 0, 0, null);
            Thumbnailator.writeImage(thumbnail, new File("thumbnail.jpg"));
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
}

import ij.ImagePlus;
import ij.IJ;
public class ImageJExample {
    public static void main(String[] args) {
        // 打开图像
        ImagePlus imagePlus = IJ.openImage("image.jpg");
        // 显示图像
        imagePlus.show();
    }
}

import imgscalr.ImageScaleOp;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.IOException;
import javax.imageio.ImageIO;
public class ImgScalrExample {
    public static void main(String[] args) {
        try {
            // 读取源图像
            BufferedImage originalImage = ImageIO.read(new File("original.jpg"));
            // 创建缩放操作
            ImageScaleOp scaleOp = new ImageScaleOp(originalImage, 0.5f, imgscalr.Interpolation.BILINEAR);
            // 缩放图像
            BufferedImage scaledImage = scaleOp.filter(null, null);
            // 保存缩放后的图像
            ImageIO.write(scaledImage, "jpg", new File("scaled.jpg"));
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
}

import net.imglib2.img.Img;
import net.imglib2.img.array.ArrayImgs;
import net.imglib2.img.basictypeaccess.array.IntArray;
import net.imglib2.ops.OpEnvironment;
import net.imglib2.ops.RealOp;
import net.imglib2.ops.RealOpImage;
import net.imglib2.ops.filter.convolution.Convolution;
import net.imglib2.type.numeric.real.FloatType;
public class ImageJOpsExample {
    public static void main(String[] args) {
        // 创建一个简单的图像
        Img<FloatType> img = ArrayImgs.floats(new int[]{10, 10}, new FloatType(1.0f));
        // 创建卷积操作，使用高斯核进行模糊
        RealOpImage<FloatType, FloatType> kernel = Convolution.createGaussianKernel(2, 2, 1.0);
        RealOpImage<FloatType, FloatType> blurredImg = Convolution.convolve(img, kernel);
        // 输出结果
        blurredImg.forEachPixel(p -> System.out.println(p.getRealDouble()));
    }
}