图像的点运算

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利用点运算进行两个图像的融合：

采用基本的公式：A(u,v)=a*B(u,v)+(1-a)*C(u,v);

0≤a≤1,当a=0时，C是不透明的因此C将B整个图像进行遮挡了，当a=1时，B是不透明的，因此B将整个图像进行遮挡了。

两个图像融合的案例：

activity：

public class ImageJAndroidActivity extends Activity {
    ImageView sourceImage;
    ImageView destinationImage;
    private Handler handler=new Handler(){

       @Override
       public void handleMessage(Message msg) {
           super.handleMessage(msg);
           if(msg.what==1){
               destinationImage.setImageBitmap((Bitmap)msg.obj);
           }
       }

    };
    @Override
    public void onCreate(Bundle savedInstanceState) {
        super.onCreate(savedInstanceState);
        setContentView(R.layout.main);
        sourceImage=(ImageView) findViewById(R.id.source);
        destinationImage=(ImageView) findViewById(R.id.destination);


    }


    //两幅图片的融合

    public void remove(View v){
       Bitmap bitmap1=BitmapFactory.decodeResource(getResources(),R.drawable.gg);
       Bitmap bitmap2=BitmapFactory.decodeResource(getResources(),R.drawable.jj);
       int width=bitmap1.getWidth();
       int height=bitmap1.getHeight();
       int[] pixel1=new int[width*height];
       int[] pixel2=new int[width*height];
       int[] newPixel=new int[width*height];
       bitmap1.getPixels(pixel1, 0, width, 0, 0, width, height);
       bitmap2.getPixels(pixel2, 0, width, 0, 0, width, height);
        for(int y=0;y<height;y++){
           for(int x=0;x<width;x++){
               int a=(pixel1[y*width+x]>>16&0xff);
               int red=(int)(0.7*(pixel1[y*width+x]>>16&0xff)+0.3*(pixel2[y*width+x]>>16&0xff));
               int green=(int)(0.7*(pixel1[y*width+x]>>8&0xff)+0.3*(pixel2[y*width+x]>>8&0xff));
               int blue=(int)(0.7*(pixel1[y*width+x]&0xff)+0.3*(pixel2[y*width+x]&0xff));
               newPixel[y*width+x]=a<<24|red<<16|green<<8|blue;
           }
        }
        Bitmap newBitmap=Bitmap.createBitmap(width, height, Config.RGB_565);
        newBitmap.setPixels(newPixel, 0, width, 0, 0, width, height);
        destinationImage.setImageBitmap(newBitmap);
    }

两幅图片如下：

融合之后的效果为：

两个图片进行合成：

原来的图片是：

现在要达到的效果是将上面图片的白色背景去掉(透明度为0)

public class ImageJAndroidActivity extends Activity {
    ImageView sourceImage;
    ImageView destinationImage;
    private Handler handler=new Handler(){

       @Override
       public void handleMessage(Message msg) {
           super.handleMessage(msg);
           if(msg.what==1){
               destinationImage.setImageBitmap((Bitmap)msg.obj);
           }
       }

    };
    @Override
    public void onCreate(Bundle savedInstanceState) {
        super.onCreate(savedInstanceState);
        setContentView(R.layout.main);
        sourceImage=(ImageView) findViewById(R.id.source);
        destinationImage=(ImageView) findViewById(R.id.destination);


    }
//图像的点运算
//两幅图像的合成
    public void remove(View v){
       Bitmap bitmap1=BitmapFactory.decodeResource(getResources(),R.drawable.gg);
       Bitmap bitmap2=BitmapFactory.decodeResource(getResources(),R.drawable.s);
       int width1=bitmap1.getWidth();
       int height1=bitmap1.getHeight();
       int width2=bitmap2.getWidth();
       int height2=bitmap2.getHeight();
       int[] pixel1=new int[width1*height1];
       int[] pixel2=new int[width2*height2];
       bitmap1.getPixels(pixel1, 0, width1, 0, 0, width1, height1);
       bitmap2.getPixels(pixel2, 0, width2, 0, 0, width2, height2);

       for(int y=0;y<height2;y++){
           for(int x=0;x<width2;x++){
               //两个图片的像素进行融合
               if(pixel2[y*width2+x]!=Color.WHITE){
                   int a=(pixel2[y*width2+x]>>24&0xff);
                   int red=(int)(1*(pixel2[y*width2+x]>>16&0xff));
                   int green=(int)(1*(pixel2[y*width2+x]>>8&0xff));
                   int blue=(int)(1*(pixel2[y*width2+x]&0xff));
                   pixel1[(y+100)*width1+(x+20)]=a<<24|red<<16|green<<8|blue;//这里写成width1刚好换行的时候吻合
               }
           }
       }

       Bitmap newBitmap=Bitmap.createBitmap(width1, height1,Config.RGB_565);
        newBitmap.setPixels(pixel1, 0, width1,0 ,0, width1, height1);
        destinationImage.setImageBitmap(newBitmap);
    }

最终达到的效果是：

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