视频去除水印、台标和logo，并重新在生成新的视频

矫情吗；* 2022-07-24 06:30 192阅读 0赞

视频去除水印、台标和logo

对于图片的水印和logo的去除，网上有很多办法，最直接的办法，打开photoshop，PS就可搞定，还有其他的图像处理软件效果也都不错，但是对视频的的水印、台标和logo处理，网上相关的技术博客比较少，相关的代码和开源项目也很少啊。求人不如求己，看来只能动手自己搞啦。

需要用到opencv，我首先是在VS2013+opencv2.4.10的平台上，实现了视频的读取，图像抽取；然后调用inpaint( InputArray src, InputArray inpaintMask,OutputArray dst, double inpaintRadius, int flags )函数，将当前帧和掩膜图像进行融合，即可消除固定位置的水印或LOGO，不过掩膜图像要自己手动制作，当然也可采用选定参考帧，然后和后面的图像逐帧对应位置像素点相与为一的办法来做，20帧图像过后就可求得掩膜图像，得到的掩膜图像有毛刺，效果不是很好，还是需要进一步羽化修正一下；如果logo位置不固定的话，把logo截取出来，可以用图像模板匹配的办法或sift特征点匹配，找到logo或水印的位置，这个方法比较烦，要划窗检测，要构建图像金字塔，能自动检测到logo，实用效果不是太好，要进一步优化才好。

具体步骤如下：

1、制作掩膜图像

a、PS手工制作，掩膜图像要和视频分辨率大小一致。

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b、前景背景求差法，代码如下：（也包括相关的去logo完整算法）

#include <opencv2\core\core.hpp>
 #include <opencv2\highgui\highgui.hpp>
 #include <opencv2\imgproc\imgproc.hpp>
 #include "opencv2/photo/photo.hpp"
 
 #include <iostream>
 
 using namespace std;
 using namespace cv;
 
 int main(int argc, char** argv)
 {
 	cv::VideoCapture cap("C:/Users/zyy/Desktop/test_logs/test.mp4");
 	if (!cap.isOpened())
 	{
 		cout << "Failed!" << endl;
 		return -1;
 	}
 
 	Mat result, mask, dst1;
 	Mat inpaintMask1;
 	Mat inpaintMask = imread("C:/Users/zyy/Desktop/test_logs/log5.jpg");
 	cv::cvtColor(inpaintMask, inpaintMask, CV_BGR2GRAY);
 	cv::namedWindow("Result", 1);
 	cv::namedWindow("Frame", 1);
 	int i = 0;
 	for (;;)
 	{
 		Mat frame;
 		cap >> frame;
 		if (!frame.data)
 		{
 			cout << "Over!" << endl;
 			break;
 		}
 
 		if (i <= 2) //看视频，自己调试确定这个值，二十几帧之后左上角那个小图才出来，所以选了30
 		{
 			if (i == 2)
 			{
 				mask = frame;
 				cv::cvtColor(mask, mask, CV_BGR2GRAY);
 				//Mat inpaintMask1(mask.rows, mask.cols, CV_32FC1, 1);
 				inpaintMask1 = mask;
 			}
 		}
 		else
 		{
 			cv::bitwise_and(result, mask, mask);//前景背景求差法
 			if (i > 2 && i <= 40)
 			{
 				cv::cvtColor(frame, result, CV_BGR2GRAY);
 				cv::bitwise_and(result, mask, mask);//前景背景求差法
 				inpaintMask1 = mask;
 				imwrite("C:/Users/zyy/Desktop/test_logs/www.jpg", inpaintMask1);
 			}
 			Mat inpainted;
 			inpaint(frame, inpaintMask, inpainted, 8, CV_INPAINT_TELEA);
 			imshow("inpainted image", inpainted);
 
 			imshow("Frame", frame);
 			imshow("Result", mask);
 			//waitKey();
 			if (cv::waitKey(33) >= 0) break;
 		}
 		i++;
 	}
 
 	waitKey();
 	return 0;
 }

2、logo和水印位置检测

#include <iostream>
 #include "cv.h"
 #include "cxcore.h"
 #include "highgui.h"
 using namespace std;
 int main()
 {
 	IplImage *src = cvLoadImage("C:/Users/zyy/Desktop/test_logs/22.jpg", 0);
 	IplImage *srcResult = cvLoadImage("C:/Users/zyy/Desktop/test_logs/22.jpg", 3); //用来显示
 	IplImage *templat = cvLoadImage("C:/Users/zyy/Desktop/test_logs/yk2.jpg", 0);
 	IplImage *result;
 	if (!src || !templat)
 	{
 		cout << "打开图像失败" << endl;
 		return 0;
 	}
 	int srcW, srcH, templatW, templatH, resultH, resultW;
 	srcW = src->width;
 	srcH = src->height;
 	templatW = templat->width;
 	templatH = templat->height;
 	if (srcW < templatW || srcH < templatH)
 	{
 		cout << "模板不能比原图像小" << endl;
 		return 0;
 	}
 	resultW = srcW - templatW + 1;
 	resultH = srcH - templatH + 1;
 	result = cvCreateImage(cvSize(resultW, resultH), 32, 1);
 	cvMatchTemplate(src, templat, result, CV_TM_SQDIFF_NORMED);//CV_TM_SQDIFF_NORMED
 	double minValue, maxValue;
 	CvPoint minLoc, maxLoc;
 	cvMinMaxLoc(result, &minValue, &maxValue, &minLoc, &maxLoc);
 	cout << "最小值：" << minValue << " 最大值：" << maxValue << endl;
 	cvRectangle(srcResult, minLoc, cvPoint(minLoc.x + templatW, minLoc.y + templatH), cvScalar(0, 0, 255));
 	cvNamedWindow("srcResult", 0);
 	cvNamedWindow("templat", 0);
 	cvShowImage("srcResult", srcResult);
 	cvShowImage("templat", templat);
 	cvWaitKey(0);
 	cvReleaseImage(&result);
 	cvReleaseImage(&templat);
 	cvReleaseImage(&srcResult);
 	cvReleaseImage(&src);
 	return 0;
 }

3、在已经求得掩膜图像的情况下，就可以进行下一步的去logo操作了。

a、c/c++代码实现：

///
 #include "stdio.h"
 #include "stdlib.h"
 #include "time.h"
 #include <opencv2/core/core.hpp>
 #include <opencv2/highgui/highgui.hpp>
 #include <opencv2/imgproc/imgproc.hpp>
 #include "opencv2/photo/photo.hpp"
 
 #include <iostream>
 
 using namespace std;
 using namespace cv;
 int main()
 {
 	clock_t start, finish;
 	start = clock();
 	cout << "start!!" << endl;
 	string video_path = "/home/dyx/Desktop/test_logs/";
 	VideoCapture capture(video_path + "test.mp4");
 	if (!capture.isOpened())
 		cout << "fail to open!" << endl;
 	//获取帧率
 	double fps =capture.get( CV_CAP_PROP_FPS);
 	cout << "帧率为:" << fps << endl;
 	Size videoSize(capture.get( CV_CAP_PROP_FRAME_WIDTH),capture.get( CV_CAP_PROP_FRAME_HEIGHT));
 
 	int tem=CV_FOURCC('F', 'L', 'V', '1');
 	cout<<tem<<endl;
 
 	VideoWriter writer(video_path + "VideoTest.avi", CV_FOURCC('D', 'I', 'V', 'X') , fps, videoSize);
 	//	VideoWriter writer(video_path + "VideoTest.avi", CV_FOURCC('F', 'L', 'V', '1'), fps, videoSize);
 	//VideoWriter writer(video_path + "VideoTest264.avi", CV_FOURCC('X', '2', '6', '4'), fps, videoSize);
 	Mat frame;
 	Mat inpainted;
 	Mat inpaintMask = imread("/home/dyx/Desktop/test_logs/log5.jpg");
 	cv::cvtColor(inpaintMask, inpaintMask, CV_BGR2GRAY);
 	int i = 0;
 	while (capture.isOpened())
 	{
 		i++;
 		cout <> frame;
 		if (!capture.read(frame)||i>=10000)// get a new frame from camera or video
 		{
 			cout<<"finlish!"<<endl;
 			break;
 		}
 		inpaint(frame, inpaintMask, inpainted, 8, CV_INPAINT_TELEA);
 		writer << inpainted;
 		//cvWaitKey(1000 / fps);
 		if (cvWaitKey(20) == 27)
 		{
 			break;
 		}
 		imshow("video", inpainted);
 
 	}
 	finish = clock();
 	long time = (double)(finish - start) / CLOCKS_PER_SEC;
 	cout << time << endl;
 	printf("时间：%f seconds\n", time);
 	return 0;
 }

b、java代码实现：

package main;
    
    
    import org.opencv.core.Mat;
    import org.opencv.core.Size;
    import org.opencv.imgproc.Imgproc;
    import org.opencv.photo.Photo;
    import org.opencv.video.Video;
    import org.opencv.highgui.VideoCapture;
    import org.opencv.highgui.Highgui;
    import org.opencv.highgui.VideoWriter;
    //import org.opencv.imgcodecs.Imgcodecs;
    //import org.opencv.videoio.VideoCapture;
    //import org.opencv.videoio.VideoWriter;
    //import org.opencv.videoio.Videoio; 
     
    
    public class Remove_video_watermark {
    	static final int CV_CAP_PROP_FPS=5;
    	static final int CV_FOURCC_XVID=1482049860;
    	static final int CV_FOURCC_FLV1=827739206;
    	static String video_path="/home/dyx/Desktop/test_logs/";
    	public static void main(String[] args) {
            System.loadLibrary("opencv_java2410"); 
            
            Mat inpaintMask = new Mat();
            Mat inpainted=new Mat();
            Mat template = Highgui.imread("/home/dyx/Desktop/test_logs/log5.jpg");
            Imgproc.cvtColor(template, inpaintMask,Imgproc.COLOR_BGR2GRAY);  
            Mat frame = new Mat();
          
            VideoCapture cap = new VideoCapture("/home/dyx/Desktop/test_logs/test.mp4");
            if(!cap.isOpened()) // check if we succeeded
            	return;
            String fileName=video_path+"VideoTest12.avi";
            Size size = new Size(cap.get(Highgui.CV_CAP_PROP_FRAME_WIDTH), cap.get(Highgui.CV_CAP_PROP_FRAME_HEIGHT));
            double fps = cap.get(CV_CAP_PROP_FPS);
    //        VideoWriter vw = new VideoWriter(fileName, VideoWriter.fourcc('X', 'V', 'I', 'D'), fps, size, true);
            VideoWriter vw1 = new VideoWriter(fileName, CV_FOURCC_FLV1, fps, size, true);
            int ord=0;
            while(cap.isOpened())
            {
        		if (!cap.read(frame))// get a new frame from camera or video
        		{
        			System.out.println("finlish!");
        			break;
        		}
            	Photo.inpaint(frame, inpaintMask, inpainted, 8, Photo.INPAINT_TELEA);        	
            	vw1.write(inpainted);
            	ord++;
            	System.out.println(ord);
            }    
        }
    }

注意：java需要调用opencv的java接口才可以，我采用的是opencv-2.4.10版本的，此版本有一个缺陷，没有VideoWriter类，要修改opencv源码，重新编译生成opencv2410.jar才可以。其他版本好像只有最新的opencv3.1.0的java接口有VideoWriter类。

源码需要修改两个地方：1、打开opencv-2.4.10=>modules=>java=>generator=>gen\_java.py，找到

class\_ignore\_list = (  
    \#core  
    "FileNode", "FileStorage", "KDTree",  
    \#highgui  
    \#"VideoWriter",  
)

把VideoWriter前面添加“\#”，注释掉这行代码；

2、找到196行，添加一行“ "char"    : \{ "j\_type" : "char", "jn\_type" : "char", "jni\_type" : "jchar", "suffix" : "C" \},”，然后利用Ant重新编译opencv,生成jar包。

\# c\_type    : \{ java/jni correspondence \}

type\_dict = \{  
\# "simple"  : \{ j\_type : "?", jn\_type : "?", jni\_type : "?", suffix : "?" \},  
    ""        : \{ "j\_type" : "", "jn\_type" : "long", "jni\_type" : "jlong" \}, \# c-tor ret\_type  
    "void"    : \{ "j\_type" : "void", "jn\_type" : "void", "jni\_type" : "void" \},  
    "env"     : \{ "j\_type" : "", "jn\_type" : "", "jni\_type" : "JNIEnv\*"\},  
    "cls"     : \{ "j\_type" : "", "jn\_type" : "", "jni\_type" : "jclass"\},  
    "bool"    : \{ "j\_type" : "boolean", "jn\_type" : "boolean", "jni\_type" : "jboolean", "suffix" : "Z" \},  
    "char"    : \{ "j\_type" : "char", "jn\_type" : "char", "jni\_type" : "jchar", "suffix" : "C" \},  
    "int"     : \{ "j\_type" : "int", "jn\_type" : "int", "jni\_type" : "jint", "suffix" : "I" \},  
    "long"    : \{ "j\_type" : "int", "jn\_type" : "int", "jni\_type" : "jint", "suffix" : "I" \},  
    "float"   : \{ "j\_type" : "float", "jn\_type" : "float", "jni\_type" : "jfloat", "suffix" : "F" \},  
    "double"  : \{ "j\_type" : "double", "jn\_type" : "double", "jni\_type" : "jdouble", "suffix" : "D" \},  
    "size\_t"  : \{ "j\_type" : "long", "jn\_type" : "long", "jni\_type" : "jlong", "suffix" : "J" \},  
    "\_\_int64" : \{ "j\_type" : "long", "jn\_type" : "long", "jni\_type" : "jlong", "suffix" : "J" \},  
    "int64"   : \{ "j\_type" : "long", "jn\_type" : "long", "jni\_type" : "jlong", "suffix" : "J" \},  
    "double\[\]": \{ "j\_type" : "double\[\]", "jn\_type" : "double\[\]", "jni\_type" : "jdoubleArray", "suffix" : "\_3D" \},

[Center]: /images/20220722/4dd039f171d04a33b4a50ae1333fbd44.png