去视频水印java代码,网页视频去水印代码

咪咕视频去水印代码

打开目标影视网站，进入要看的视频。

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1、按下F12或鼠标右键检查进入开发者人员工具。

2、点击Console控制栏。

3、在底部输入区粘贴下列代码片段，按回车即可执行。

用java给视频水印LOGO

用过滤器,等我上线给你,不要结问题哦

package com.jc.ts.services;

import java.awt.Color;

import java.awt.Graphics;

import java.awt.Image;

import java.awt.image.BufferedImage;

import java.io.FileInputStream;

import java.io.FileNotFoundException;

import java.io.IOException;

import javax.imageio.ImageIO;

import javax.servlet.http.HttpServletRequest;

import javax.servlet.http.HttpServletResponse;

import com.sun.image.codec.jpeg.ImageFormatException;

import com.sun.image.codec.jpeg.JPEGCodec;

import com.sun.image.codec.jpeg.JPEGImageEncoder;

/**

*添加图片水印的服务类

* */

public class WaterMark {

/**

* @param sizeContext添加水印文字

* @param request 请求流对象

* @param request 响应流对象

* */

@SuppressWarnings("deprecation")

public static void createMarkSize(String sizeContext,HttpServletRequest request,HttpServletResponse response) {

try {

String path=request.getRealPath(request.getServletPath());

FileInputStream in=new FileInputStream(path);

Image src=ImageIO.read(in);

int w=src.getWidth(null);

int h=src.getHeight(null);

BufferedImage img=new BufferedImage(w,h,BufferedImage.TYPE_INT_RGB);//构建画板

Graphics g=img.getGraphics();//得到画笔

g.drawImage(src,0,0,w,h,null);//把源图片写入画板

g.setColor(Color.red);

g.drawString(sizeContext,10,5); // 添加文字

g.dispose();//生成图片

JPEGImageEncoder e=JPEGCodec.createJPEGEncoder(response.getOutputStream());

e.encode(img);

response.getOutputStream().close();

} catch (FileNotFoundException e) {

// TODO Auto-generated catch block

e.printStackTrace();

} catch (ImageFormatException e) {

// TODO Auto-generated catch block

e.printStackTrace();

} catch (IOException e) {

// TODO Auto-generated catch block

e.printStackTrace();

}

}

/**

* @param localPath 添加水印LOGO路径

* @param request 请求流对象

* @param request 响应流对象

**/

@SuppressWarnings("deprecation")

public static void createMarkLogo(String localPath,HttpServletRequest request,HttpServletResponse response) {

try {

FileInputStream file=new FileInputStream(localPath);

Image fimg=ImageIO.read(file);

int fw=fimg.getWidth(null);

int fh=fimg.getHeight(null);

String path=request.getRealPath(request.getServletPath());

FileInputStream in=new FileInputStream(path);

Image src=ImageIO.read(in);

int w=src.getWidth(null);

int h=src.getHeight(null);

BufferedImage img=new BufferedImage(w,h,BufferedImage.TYPE_INT_RGB);//构建画板

Graphics g=img.getGraphics();//得到画笔

g.drawImage(src,0,0,w,h,null);//把原图片写入画板

g.drawImage(fimg,w-20,h-15,fw,fh,null);//把水印图片写入画板

g.dispose();//生成图片

JPEGImageEncoder e=JPEGCodec.createJPEGEncoder(response.getOutputStream());

e.encode(img);

response.getOutputStream().close();

} catch (FileNotFoundException e) {

// TODO Auto-generated catch block

e.printStackTrace();

} catch (ImageFormatException e) {

// TODO Auto-generated catch block

e.printStackTrace();

} catch (IOException e) {

// TODO Auto-generated catch block

e.printStackTrace();

}

}

}

/**

* @param localPath 添加水印图片路径

* @param request 请求流对象

* @param request 响应流对象

* @param width 水印图片的宽度

* @param height 水印图片的长度

**/

@SuppressWarnings("deprecation")

public static void createMarkLogo(String localPath,HttpServletRequest request,HttpServletResponse response,int width,int height) {

try {

FileInputStream file=new FileInputStream(localPath);

Image fimg=ImageIO.read(file);

int fw=fimg.getWidth(null);

int fh=fimg.getHeight(null);

String path=request.getRealPath(request.getServletPath());

FileInputStream in=new FileInputStream(path);

Image src=ImageIO.read(in);

int w=src.getWidth(null);//w为你过滤图片的宽度

int h=src.getHeight(null);//h为你过滤图片的长度

BufferedImage img=new BufferedImage(w+width,h+height,BufferedImage.TYPE_INT_RGB);//构建画板(画板的宽度为两个图片之和)

Graphics g=img.getGraphics();//得到画笔

g.drawImage(src,0,0,w,h,null);//把原图片写入画板

g.drawImage(fimg,width,height,fw,fh,null);//把水印图片写入画板

g.dispose();//生成图片

JPEGImageEncoder e=JPEGCodec.createJPEGEncoder(response.getOutputStream());

e.encode(img);

response.getOutputStream().close();

} catch (FileNotFoundException e) {

// TODO Auto-generated catch block

e.printStackTrace();

} catch (ImageFormatException e) {

// TODO Auto-generated catch block

e.printStackTrace();

} catch (IOException e) {

// TODO Auto-generated catch block

e.printStackTrace();

}

}

}

注意第三个方法的注释地方g.drawImage(fimg,width,height,fw,fh,null);根据参数你在调调(放原图下面的)

过滤器调用

package com.jc.ts.filter;

import java.io.IOException;

import javax.servlet.Filter;

import javax.servlet.FilterChain;

import javax.servlet.FilterConfig;

import javax.servlet.ServletException;

import javax.servlet.ServletRequest;

import javax.servlet.ServletResponse;

import javax.servlet.http.HttpServletRequest;

import javax.servlet.http.HttpServletResponse;

import com.jc.ts.services.WaterMark;

public class WaterFilter implements Filter {

public void destroy() {

// TODO Auto-generated method stub

}

public void doFilter(ServletRequest arg0, ServletResponse arg1,

FilterChain arg2) throws IOException, ServletException {

HttpServletRequest request=(HttpServletRequest)arg0;

HttpServletResponse response=(HttpServletResponse)arg1;

//WaterMark.createMarkSize("南京ts", request, response);

//WaterMark.createMarkLogo("D:\\workspace\\mybook\\WebRoot\\images\\logo\\book.jpg", request, response);

WaterMark.createMarkLogo("D:\\workspace\\mybook\\WebRoot\\images\\logo\\book.jpg", request, response,20,30);

//注意路径为绝对路径且三个效果不能同时执行

}

public void init(FilterConfig arg0) throws ServletException {

// TODO Auto-generated method stub

}

}

web.xml配置(写在servlet上面)

filter

descriptionThis is the description of my J2EE component/description

display-nameThis is the display name of my J2EE component/display-name

filter-nameWaterFilter/filter-name

filter-classcom.jc.ts.filter.WaterFilter/filter-class

/filter

希望你能满意。。。。。。

如何用java去除图片水印？

//运行以下程序即可

public class ImageInit {

BufferedImage image;

private int iw, ih;

private int[] pixels;

public ImageInit(BufferedImage image) {

this.image = image;

iw = image.getWidth();

ih = image.getHeight();

pixels = new int[iw * ih];

}

public BufferedImage changeGrey() {

PixelGrabber pg = new PixelGrabber(image.getSource(), 0, 0, iw, ih,

pixels, 0, iw);

try {

pg.grabPixels();

} catch (InterruptedException e) {

e.printStackTrace();

}

// 设定二值化的域值，默认值为100

int grey = 100;

// 对图像进行二值化处理，Alpha值保持不变

ColorModel cm = ColorModel.getRGBdefault();

for (int i = 0; i  iw * ih; i++) {

int red, green, blue;

int alpha = cm.getAlpha(pixels[i]);

if (cm.getRed(pixels[i])  grey) {

red = 255;

} else {

red = 0;

}

if (cm.getGreen(pixels[i])  grey) {

green = 255;

} else {

green = 0;

}

if (cm.getBlue(pixels[i])  grey) {

blue = 255;

} else {

blue = 0;

}

pixels[i] = alpha  24 | red  16 | green  8 | blue; // 通过移位重新构成某一点像素的RGB值

}

// 将数组中的象素产生一个图像

Image tempImg = Toolkit.getDefaultToolkit().createImage(

new MemoryImageSource(iw, ih, pixels, 0, iw));

image = new BufferedImage(tempImg.getWidth(null),

tempImg.getHeight(null), BufferedImage.TYPE_INT_BGR);

image.createGraphics().drawImage(tempImg, 0, 0, null);

return image;

}

public BufferedImage getMedian() {

PixelGrabber pg = new PixelGrabber(image.getSource(), 0, 0, iw, ih,

pixels, 0, iw);

try {

pg.grabPixels();

} catch (InterruptedException e) {

e.printStackTrace();

}

// 对图像进行中值滤波，Alpha值保持不变

ColorModel cm = ColorModel.getRGBdefault();

for (int i = 1; i  ih - 1; i++) {

for (int j = 1; j  iw - 1; j++) {

int red, green, blue;

int alpha = cm.getAlpha(pixels[i * iw + j]);

// int red2 = cm.getRed(pixels[(i - 1) * iw + j]);

int red4 = cm.getRed(pixels[i * iw + j - 1]);

int red5 = cm.getRed(pixels[i * iw + j]);

int red6 = cm.getRed(pixels[i * iw + j + 1]);

// int red8 = cm.getRed(pixels[(i + 1) * iw + j]);

// 水平方向进行中值滤波

if (red4 = red5) {

if (red5 = red6) {

red = red5;

} else {

if (red4 = red6) {

red = red6;

} else {

red = red4;

}

}

} else {

if (red4  red6) {

red = red4;

} else {

if (red5  red6) {

red = red6;

} else {

red = red5;

}

}

}

int green4 = cm.getGreen(pixels[i * iw + j - 1]);

int green5 = cm.getGreen(pixels[i * iw + j]);

int green6 = cm.getGreen(pixels[i * iw + j + 1]);

// 水平方向进行中值滤波

if (green4 = green5) {

if (green5 = green6) {

green = green5;

} else {

if (green4 = green6) {

green = green6;

} else {

green = green4;

}

}

} else {

if (green4  green6) {

green = green4;

} else {

if (green5  green6) {

green = green6;

} else {

green = green5;

}

}

}

// int blue2 = cm.getBlue(pixels[(i - 1) * iw + j]);

int blue4 = cm.getBlue(pixels[i * iw + j - 1]);

int blue5 = cm.getBlue(pixels[i * iw + j]);

int blue6 = cm.getBlue(pixels[i * iw + j + 1]);

// int blue8 = cm.getBlue(pixels[(i + 1) * iw + j]);

// 水平方向进行中值滤波

if (blue4 = blue5) {

if (blue5 = blue6) {

blue = blue5;

} else {

if (blue4 = blue6) {

blue = blue6;

} else {

blue = blue4;

}

}

} else {

if (blue4  blue6) {

blue = blue4;

} else {

if (blue5  blue6) {

blue = blue6;

} else {

blue = blue5;

}

}

}

pixels[i * iw + j] = alpha  24 | red  16 | green  8

| blue;

}

}

// 将数组中的象素产生一个图像

Image tempImg = Toolkit.getDefaultToolkit().createImage(

new MemoryImageSource(iw, ih, pixels, 0, iw));

image = new BufferedImage(tempImg.getWidth(null),

tempImg.getHeight(null), BufferedImage.TYPE_INT_BGR);

image.createGraphics().drawImage(tempImg, 0, 0, null);

return image;

}

public BufferedImage getGrey() {

ColorConvertOp ccp = new ColorConvertOp(

ColorSpace.getInstance(ColorSpace.CS_GRAY), null);

return image = ccp.filter(image, null);

}

// Brighten using a linear formula that increases all color values

public BufferedImage getBrighten() {

RescaleOp rop = new RescaleOp(1.25f, 0, null);

return image = rop.filter(image, null);

}

// Blur by "convolving" the image with a matrix

public BufferedImage getBlur() {

float[] data = { .1111f, .1111f, .1111f, .1111f, .1111f, .1111f,

.1111f, .1111f, .1111f, };

ConvolveOp cop = new ConvolveOp(new Kernel(3, 3, data));

return image = cop.filter(image, null);

}

// Sharpen by using a different matrix

public BufferedImage getSharpen() {

float[] data = { 0.0f, -0.75f, 0.0f, -0.75f, 4.0f, -0.75f, 0.0f,

-0.75f, 0.0f };

ConvolveOp cop = new ConvolveOp(new Kernel(3, 3, data));

return image = cop.filter(image, null);

}

// 11) Rotate the image 180 degrees about its center point

public BufferedImage getRotate() {

AffineTransformOp atop = new AffineTransformOp(

AffineTransform.getRotateInstance(Math.PI,

image.getWidth() / 2, image.getHeight() / 2),

AffineTransformOp.TYPE_NEAREST_NEIGHBOR);

return image = atop.filter(image, null);

}

public BufferedImage getProcessedImg() {

return image;

}

public static void main(String[] args) throws IOException {

String filePath="F:/k7qp5.png";

FileInputStream fin = new FileInputStream(filePath);

BufferedImage bi = ImageIO.read(fin);

ImageInit flt = new ImageInit(bi);

flt.changeGrey();

flt.getGrey();

flt.getBrighten();

bi = flt.getProcessedImg();

String pname = filePath.substring(0, filePath.lastIndexOf("."));

File file = new File(pname + ".jpg");

ImageIO.write(bi, "jpg", file);

}

}