思路:
我的实时视频流需要加水印,我的解决思路是:将水印图片转换成YUV格式,在Camera中onPreviewFrame中将获取到的视频流做一个叠加
1:水印转YUV
//从drawble中获取水印图片
Bitmap bmp1 = BitmapFactory.decodeResource(App.getCtx().getResources(), R.drawable.ic_camera );
//缩小图片
final Bitmap bmp=scaleImage(bmp1,40,40);
//转YUV
final byte[] mark=getYUVByBitmap(bmp);
2:叠加
int startY=100;//水印Y轴的位置
int startX=100;//水印X轴的位置
mCamera.setPreviewCallback(new Camera.PreviewCallback() {
@Override
public void onPreviewFrame(byte[] data, Camera camera) {
int j=0;
for(int i=startY; i<bmp.getHeight()+startY; i++) {
for(int c=0;c<bmp.getWidth();c++){
//去掉PNG水印的黑边
if(mark[j*bmp.getWidth()+c]!=0x10&&mark[j*bmp.getWidth()+c]!=0x80&&mark[j*bmp.getWidth()+c]!=0xeb){
System.arraycopy(mark,j*bmp.getWidth()+c,data,startX+i*1280+c,1);
}
}
j++;
}
PS:获取图片YUV所需的方法
//缩小图片到制定长宽
public static Bitmap scaleImage(Bitmap bm, int newWidth, int newHeight)
{
if (bm == null)
{
return null;
}
int width = bm.getWidth();
int height = bm.getHeight();
float scaleWidth = ((float) newWidth) / width;
float scaleHeight = ((float) newHeight) / height;
Matrix matrix = new Matrix();
matrix.postScale(scaleWidth, scaleHeight);
Bitmap newbm = Bitmap.createBitmap(bm, 0, 0, width, height, matrix,
true);
if (bm != null & !bm.isRecycled())
{
bm.recycle();
bm = null;
}
return newbm;
}
//图片转YUV
public byte[] getYUVByBitmap(Bitmap bitmap) {
if (bitmap == null) {
return null;
}
int width = bitmap.getWidth();
int height = bitmap.getHeight();
int size = width * height;
int pixels[] = new int[size];
bitmap.getPixels(pixels, 0, width, 0, 0, width, height);
byte[] data = rgb2YCbCr420(pixels, width, height);
return data;
}
public static byte[] rgb2YCbCr420(int[] pixels, int width, int height) {
int len = width * height;
//yuv格式数组大小,y亮度占len长度,u,v各占len/4长度。
byte[] yuv = new byte[len * 3 / 2];
int y, u, v;
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
//屏蔽ARGB的透明度值
int rgb = pixels[i * width + j] & 0x00FFFFFF;
//像素的颜色顺序为bgr,移位运算。
int r = rgb & 0xFF;
int g = (rgb >> 8) & 0xFF;
int b = (rgb >> 16) & 0xFF;
//套用公式
y = ((66 * r + 129 * g + 25 * b + 128) >> 8) + 16;
u = ((-38 * r - 74 * g + 112 * b + 128) >> 8) + 128;
v = ((112 * r - 94 * g - 18 * b + 128) >> 8) + 128;
y = y < 16 ? 16 : (y > 255 ? 255 : y);
u = u < 0 ? 0 : (u > 255 ? 255 : u);
v = v < 0 ? 0 : (v > 255 ? 255 : v);
//赋值
yuv[i * width + j] = (byte) y;
yuv[len + (i >> 1) * width + (j & ~1) + 0] = (byte) u;
yuv[len + +(i >> 1) * width + (j & ~1) + 1] = (byte) v;
}
}
return yuv;
}