我有 Image_1.jpg。我从 Image_1.jpg 获得了 2D 数组中的图像像素值。我已将 2D 数组的前 8*8 块值设置如下。
16 , 16 , 16 , 16 , 16 , 16 , 16 , 16 ,
16 , 16 , 16 , 16 , 16 , 16 , 16 , 16 ,
16 , 16 , 16 , 16 , 16 , 16 , 16 , 16 ,
16 , 16 , 16 , 16 , 16 , 16 , 16 , 16 ,
16 , 16 , 16 , 16 , 16 , 16 , 16 , 16 ,
16 , 16 , 16 , 16 , 16 , 16 , 16 , 16 ,
16 , 16 , 16 , 16 , 16 , 16 , 16 , 16 ,
16 , 16 , 16 , 16 , 16 , 16 , 16 , 16 ,
并将图像构建为 Img.jpg。再次获取 This Img.jpg Image 以 2D Array 读取此内容。并读取前 8*8 个块。我得到以下值。
-16776690 , -16776690 , -16776432 , -16776176 , -16775922 , -16775927 , -16776190 , -16645120 ,
-16776944 , -16776688 , -16776432 , -16776176 , -16775922 , -16775925 , -16776188 , -16645376 ,
-16777198 , -16776940 , -16776940 , -16776684 , -16776430 , -16776434 , -16776697 , -16580096 ,
-16777196 , -16777196 , -16776939 , -16776683 , -16776428 , -16776432 , -16776695 , -16580350 ,
-16646124 , -16711660 , -16777195 , -16776937 , -16776683 , -16776686 , -16711413 , -16449532 ,
-16646126 , -16711662 , -16776940 , -16776940 , -16776940 , -16776944 , -16711413 , -16449532 ,
-16449523 , -16580594 , -16711664 , -16776944 , -16776944 , -16776947 , -16645881 , -16384000 ,
-16449529 , -16449527 , -16646133 , -16776693 , -16776695 , -16776442 , -16645632 , -16383744 ,
我希望这些值为 16。我为此编写了以下代码。我该怎么办?
/*
* To change this template, choose Tools | Templates
* and open the template in the editor.
*/
package testing;
import java.awt.image.BufferedImage;
import java.io.File;
import javax.imageio.ImageIO;
/**
*
* @author pratibha
*/
public class ConstructImage{
int[][] PixelArray;
public ConstructImage(){
try{
BufferedImage bufferimage=ImageIO.read(new File("C:\\photo\\Modified\\image_1.jpg"));
int height=bufferimage.getHeight();
int width=bufferimage.getWidth();
PixelArray=new int[width][height];
for(int i=0;i<width;i++){
for(int j=0;j<height;j++){
PixelArray[i][j]=bufferimage.getRGB(i, j);
}
}
///////create Image from this PixelArray
for(int i=0;i<8;i++){
for(int j=0;j<8;j++){
PixelArray[i][j]=16;
}
}
for(int i=0;i<8;i++){
for(int j=0;j<8;j++){
System.out.print(PixelArray[i][j]+" , ");
}
System.out.println("");
}
BufferedImage bufferImage2=new BufferedImage(width, height,BufferedImage.TYPE_INT_RGB);
for(int x=0;x<width;x++){
for(int y=0;y<height;y++){
bufferImage2.setRGB(x, y, PixelArray[x][y]);
}
}
File outputfile = new File("C:\\photo\\Modified\\img.jpg");
ImageIO.write(bufferImage2, "jpg", outputfile);
///////////////////////////////////////////////////////////////////
BufferedImage bufferimage1=ImageIO.read(new File("C:\\photo\\Modified\\img.jpg"));
int height1=0;
height1=bufferimage1.getHeight();
int width1=0;
width1=bufferimage1.getWidth();
int[][] PixelArray1=new int[width1][height1];
for(int i=0;i<width1;i++){
for(int j=0;j<height1;j++){
PixelArray1[i][j]=bufferimage1.getRGB(i, j);
}
}
///////create Image from this PixelArray
for(int i=0;i<8;i++){
for(int j=0;j<8;j++){
System.out.print(PixelArray1[i][j]+" , ");
}
System.out.println();
}
System.out.println(Integer.toBinaryString(222));
System.out.println(Integer.signum(93226268));;
}
catch(Exception ee){
ee.printStackTrace();
}
}
public static void main(String args[]){
ConstructImage c=new ConstructImage();
}
}