用过滤器,等我上线给你,不要结问题哦
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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。。。。。。
//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);
}
}
1、下载海印视听APP并注册登录。
2、选择主界面的常见水印去除。
3、将你要去除的芒果TV网页版代码导入。
4、点击开始后静等处理结束即可去掉芒果tv网页版代码的水印。
带有水印的图片，是合成过的
所以，用ps修补简单易用，如果用java去实现类似ps的功能，难度可想而知，建议换种思路考虑这个问题