主要用于图片版权追溯，用户指纹识别等场景，保证用户版权以及作为防盗反爬关键性法律证据。

opencv环境

windows

解压opencv-3.4.2.tar.gz，项目运行是在VM options中加入库环境-Djava.library.path=D:\opencv3.4.2\opencv\build\java\x64;D:\opencv3.4.2\opencv\build\x64\vc14\bin

linux

配置docker容器

vim Dockerfile

FROM docker.io/centos:7
MAINTAINER OneJane
WORKDIR /usr
RUN mkdir /usr/local/java
ADD jdk-8u60-linux-x64.tar.gz /usr/local/java/
ENV JAVA_HOME /usr/local/java/jdk1.8.0_60
ENV JRE_HOME $JAVA_HOME/jre
ENV CLASSPATH $JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar:$JRE_HOME/lib:$CLASSPATH
ENV PATH $JAVA_HOME/bin:$PATH
RUN mkdir -p /usr/local/opencv_make/build
ADD opencv-3.4.2 /usr/local/opencv_make
RUN yum -y install make cmake gcc gcc-c++ gtk+-devel gimp-devel gimp-devel-tools gimp-help-browser zlib-devel libtiff-devel libjpeg-devel libpng-devel gstreamer-devel libavc1394-devel libraw1394-devel libdc1394-devel jasper-devel jasper-utils swig python libtool nasm build-essential ant
RUN cd /usr/local/opencv_make/build && cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local/opencv_make/build -DBUILD_TESTS=OFF ..
RUN cd /usr/local/opencv_make/build && make
RUN cp /usr/local/opencv_make/build/lib/libopencv_java342.so /usr/lib
ADD apache-tomcat-8.5.46 /usr/local/tomcat
RUN echo "tail -f /usr/local/tomcat/logs/catalina.out " >> /usr/local/tomcat/bin/catalina.sh
EXPOSE 8080
ENTRYPOINT ["/usr/local/tomcat/bin/catalina.sh"]
CMD ["start"]

盲水印

加入依赖

<dependencies><dependency><groupId>org.openpnp</groupId><artifactId>opencv</artifactId><version>3.4.2-1</version></dependency>
</dependencies>

加解盲水印

import org.opencv.core.Point;
import org.opencv.core.*;
import org.opencv.imgcodecs.Imgcodecs;import javax.imageio.ImageIO;
import java.awt.*;
import java.awt.image.BufferedImage;
import java.awt.image.DataBufferByte;
import java.io.ByteArrayInputStream;
import java.io.InputStream;
import java.util.ArrayList;
import java.util.List;import static org.opencv.core.Core.BORDER_CONSTANT;
import static org.opencv.core.Core.copyMakeBorder;
import static org.opencv.imgproc.Imgproc.putText;public class DarkWatermarkUtil {private static List<Mat> planes = new ArrayList<Mat>();private static List<Mat> allPlanes = new ArrayList<Mat>();public static Mat addImageWatermarkWithText(Mat image, String watermarkText) {//优化图像的尺寸//Mat padded = optimizeImageDim(image);Mat complexImage = new Mat();Mat padded = splitSrc(image);padded.convertTo(padded, CvType.CV_32F);planes.add(padded);planes.add(Mat.zeros(padded.size(), CvType.CV_32F));Core.merge(planes, complexImage);// dftCore.dft(complexImage, complexImage);// 添加文本水印Scalar scalar = new Scalar(0, 0, 0);Point point = new Point(60, 60);putText(complexImage, watermarkText, point, Core.FONT_HERSHEY_DUPLEX, 0.8D, scalar, 2);Core.flip(complexImage, complexImage, -1);putText(complexImage, watermarkText, point, Core.FONT_HERSHEY_DUPLEX, 0.8D, scalar, 2);Core.flip(complexImage, complexImage, -1);return antitransformImage(complexImage, allPlanes,padded);}public static Mat getImageWatermarkWithText(Mat image) {List<Mat> planes = new ArrayList<Mat>();Mat complexImage = new Mat();Mat padded = splitSrc(image);padded.convertTo(padded, CvType.CV_32F);planes.add(padded);planes.add(Mat.zeros(padded.size(), CvType.CV_32F));Core.merge(planes, complexImage);// dftCore.dft(complexImage, complexImage);Mat magnitude = createOptimizedMagnitude(complexImage);planes.clear();return magnitude;}private static Mat splitSrc(Mat mat) {
//        mat = optimizeImageDim(mat);Mat padded = new Mat();Core.split(mat, allPlanes);if (allPlanes.size() > 1) {for (int i = 0; i < allPlanes.size(); i++) {if (i == 0) {padded = allPlanes.get(i);break;}}} else {padded = mat;}return padded;}private static Mat antitransformImage(Mat complexImage, List<Mat> allPlanes,Mat padded) {Mat invDFT = new Mat();Core.idft(complexImage, invDFT, Core.DFT_SCALE | Core.DFT_REAL_OUTPUT, 0);Mat restoredImage = new Mat();invDFT.convertTo(restoredImage, CvType.CV_8U);if (allPlanes.size() == 0) {allPlanes.add(restoredImage);} else {allPlanes.set(0, restoredImage);}Mat lastImage = new Mat();Core.merge(allPlanes, lastImage);planes.clear();allPlanes.clear();complexImage.release();invDFT.release();restoredImage.release();padded.release();return lastImage;}private static Mat optimizeImageDim(Mat image) {Mat padded = new Mat();int addPixelRows = Core.getOptimalDFTSize(image.rows());int addPixelCols = Core.getOptimalDFTSize(image.cols());copyMakeBorder(image, padded, 0, addPixelRows - image.rows(), 0, addPixelCols - image.cols(),BORDER_CONSTANT, Scalar.all(0));return padded;}private static Mat createOptimizedMagnitude(Mat complexImage) {List<Mat> newPlanes = new ArrayList<Mat>();Mat mag = new Mat();Core.split(complexImage, newPlanes);Core.magnitude(newPlanes.get(0), newPlanes.get(1), mag);Core.add(Mat.ones(mag.size(), CvType.CV_32F), mag, mag);Core.log(mag, mag);shiftDFT(mag);mag.convertTo(mag, CvType.CV_8UC1);Core.normalize(mag, mag, 0, 255, Core.NORM_MINMAX, CvType.CV_8UC1);return mag;}private static void shiftDFT(Mat image) {image = image.submat(new Rect(0, 0, image.cols() & -2, image.rows() & -2));int cx = image.cols() / 2;int cy = image.rows() / 2;Mat q0 = new Mat(image, new Rect(0, 0, cx, cy));Mat q1 = new Mat(image, new Rect(cx, 0, cx, cy));Mat q2 = new Mat(image, new Rect(0, cy, cx, cy));Mat q3 = new Mat(image, new Rect(cx, cy, cx, cy));Mat tmp = new Mat();q0.copyTo(tmp);q3.copyTo(q0);tmp.copyTo(q3);q1.copyTo(tmp);q2.copyTo(q1);tmp.copyTo(q2);}public static BufferedImage Mat2BufImg(Mat matrix, String fileExtension) {// convert the matrix into a matrix of bytes appropriate for// this file extensionMatOfByte mob = new MatOfByte();Imgcodecs.imencode(fileExtension, matrix, mob);// convert the "matrix of bytes" into a byte arraybyte[] byteArray = mob.toArray();BufferedImage bufImage = null;try {InputStream in = new ByteArrayInputStream(byteArray);bufImage = ImageIO.read(in);} catch (Exception e) {e.printStackTrace();}return bufImage;}public static Mat BufImg2Mat(BufferedImage original, int imgType, int matType) {if (original == null) {throw new IllegalArgumentException("original == null");}
//        System.loadLibrary("opencv_java342");
//        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
//        System.load("D:\\opencv3.4.2\\opencv\\build\\java\\x64\\opencv_java342.dll");//System.out.println(Core.NATIVE_LIBRARY_NAME);// Don't convert if it already has correct typeif (original.getType() != imgType) {// Create a buffered imageBufferedImage image = new BufferedImage(original.getWidth(), original.getHeight(), imgType);// Draw the image onto the new bufferGraphics2D g = image.createGraphics();try {g.setComposite(AlphaComposite.Src);g.drawImage(original, 0, 0, null);} finally {g.dispose();}}byte[] pixels = ((DataBufferByte) original.getRaster().getDataBuffer()).getData();Mat mat = Mat.eye(original.getHeight(), original.getWidth(), matType);mat.put(0, 0, pixels);return mat;}static {//加载opencv动态库System.loadLibrary(Core.NATIVE_LIBRARY_NAME);}public static void main(String[] args) {// 加盲水印
//        Mat img = Imgcodecs.imread("/tmp/s.jpg");
//        Mat watermarkImg = addImageWatermarkWithText(img,"onejane");
//        Imgcodecs.imwrite("/tmp/s_encode.jpg", watermarkImg);// 解盲水印Mat img = Imgcodecs.imread("/tmp/s_encode.jpg");Mat watermarkImg = getImageWatermarkWithText(img);Imgcodecs.imwrite("s_decode.jpg", watermarkImg);}
}

在maven中配置插件，将依赖打包入jar

<plugin><groupId>org.apache.maven.plugins</groupId><artifactId>maven-compiler-plugin</artifactId><version>3.1</version><configuration><source>1.8</source><target>1.8</target><encoding>utf8</encoding></configuration>
</plugin>
<plugin><artifactId>maven-assembly-plugin</artifactId><configuration><archive><manifest><mainClass>com.allen.capturewebdata.Main</mainClass></manifest></archive><descriptorRefs><descriptorRef>jar-with-dependencies</descriptorRef></descriptorRefs></configuration>
</plugin>

java -cp pirate_tools_aliyun_image-1.2.5-jar-with-dependencies.jar com.onejane.image.DarkWatermarkUtil 主动调用实现类，获取解开的盲水印

阿里云盲水印

1. 上传待添加水印的图片到OSS Bucket

2. 根据添加的盲水印类型准备水印信息。

• 图片类型：准备水印图片并上传水印图片到OSS Bucket。
• 文字类型：准备水印文字内容。

3. 调用PutProject接口创建项目，并设置Type为PhotoStarter，或者通过智能媒体管理控制台新建项目

4. 引入pom依赖

<dependency><groupId>com.aliyun</groupId><artifactId>imm20170906</artifactId><version>1.0.0</version>
</dependency>

5. 实现加解盲水印

public static com.aliyun.imm20170906.Client createClient(String accessKeyId, String accessKeySecret) throws Exception {Config config = new Config().setAccessKeyId(accessKeyId).setAccessKeySecret(accessKeySecret);config.endpoint = "imm.cn-beijing.aliyuncs.com";return new com.aliyun.imm20170906.Client(config);
}
public static void main(String ss[]) {try { com.aliyun.imm20170906.Client Imgclient = createClient("LTAITuSh49mMQCi2", "TVac6ND2MmfmVi2hB7nYvpPtzMTUnK");EncodeBlindWatermarkRequest encodeBlindWatermarkRequest = new EncodeBlindWatermarkRequest();encodeBlindWatermarkRequest.setModel("DWT_IBG");encodeBlindWatermarkRequest.setImageUri("oss://onejane-opencv/DSC02804.JPG");
//          encodeBlindWatermarkRequest.setWatermarkUri("oss://onejane-opencv/water.png");
//          encodeBlindWatermarkRequest.setTargetImageType("png");encodeBlindWatermarkRequest.setContent("哈罗摩托");encodeBlindWatermarkRequest.setProject("onejane");encodeBlindWatermarkRequest.setTargetUri("oss://onejane-opencv/DSC02804_encode.JPG");
//          encodeBlindWatermarkRequest.setTargetUri("oss://onejane-opencv/DSC02804_img_encode.JPG");EncodeBlindWatermarkResponse encodeBlindWatermarkResponse = Imgclient.encodeBlindWatermark(encodeBlindWatermarkRequest);System.out.println(JSON.toJSONString(encodeBlindWatermarkResponse));DecodeBlindWatermarkRequest decodeBlindWatermarkRequest = new DecodeBlindWatermarkRequest();decodeBlindWatermarkRequest.setImageQuality(90);decodeBlindWatermarkRequest.setModel("DWT_IBG");
//          decodeBlindWatermarkRequest.setImageUri("oss://onejane-opencv/DSC02804_img_encode.JPG");decodeBlindWatermarkRequest.setImageUri("oss://onejane-opencv/DSC02804_encode.JPG");decodeBlindWatermarkRequest.setOriginalImageUri("oss://onejane-opencv/DSC02804.JPG");decodeBlindWatermarkRequest.setProject("onejane");
//          decodeBlindWatermarkRequest.setTargetUri("oss://onejane-opencv/DSC02804_img_decode.JPG");decodeBlindWatermarkRequest.setTargetUri("oss://onejane-opencv/DSC02804_decode.JPG");DecodeBlindWatermarkResponse decodeBlindWatermarkResponse = Imgclient.decodeBlindWatermark(decodeBlindWatermarkRequest);System.out.println(JSON.toJSONString(decodeBlindWatermarkResponse));} catch (Exception e) {e.printStackTrace();}
}

完整源码请关注微信公众号：ReverseCode，回复：架构