之前写的一篇文章中我通过提取bitmap的数组,然后通过位移运算提取两个数组的alpha值通过比例混合为一张新的图片,这样对于大图片来说会很卡。所以我在查阅资料后:
安卓开发手册 ScriptIntrinsicBlend
通过RenderScript使用GPU加速来获得非常好的转换效果,只要使用安卓自身提供的脚本工具类ScriptIntrinsicBlend,配置好参数和输入输出,还有混合模式,即可快速完成该任务。
4k×2k的两张Bitmap可以在我的手机上只要30ms就可以混合完成。下面贴出我写的工具类:
package com.meizu.argbinsertyuv;
import android.content.Context;
import android.graphics.Bitmap;
import android.graphics.ImageFormat;
import android.graphics.Rect;
import android.graphics.YuvImage;
import android.renderscript.Allocation;
import android.renderscript.Element;
import android.renderscript.RenderScript;
import android.renderscript.ScriptIntrinsicBlend;
import android.renderscript.ScriptIntrinsicYuvToRGB;
import android.renderscript.Type;
import android.util.Log;
import java.io.OutputStream;
/**@author 陈杰柱**/
public class YuvUtil {
private Context mContext;
private RenderScript rs;
private ScriptIntrinsicYuvToRGB mYuvToRgbIntrinsic;
private ScriptIntrinsicBlend mScriptIntrinsicBlend;
private Type.Builder mYuvType, mRgbaType;
private Type.Builder mRgbType1, mRgbType2;
private Allocation mYuvin, mYuvOut;
private Allocation mARGBPic1, mARGBPic2;
private Bitmap mBmpout;
public YuvUtil(Context context) {
this.mContext = context;
rs = RenderScript.create(context);
mYuvToRgbIntrinsic = ScriptIntrinsicYuvToRGB.create(rs, Element.U8_4(rs));
mScriptIntrinsicBlend = ScriptIntrinsicBlend.create(rs, Element.RGBA_8888(rs));
}/**nv21转bmp**/
public Bitmap nv21ToBitmap(byte[] nv21, int width, int height) {
long start = System.currentTimeMillis();
if (mYuvType == null) {
mYuvType = new Type.Builder(rs, Element.U8(rs)).setX(nv21.length);
mYuvin = Allocation.createTyped(rs, mYuvType.create(), Allocation.USAGE_SCRIPT);
mRgbaType = new Type.Builder(rs, Element.RGBA_8888(rs)).setX(width).setY(height);
mYuvOut = Allocation.createTyped(rs, mRgbaType.create(), Allocation.USAGE_SCRIPT);
}
mYuvin.copyFrom(nv21);
mYuvToRgbIntrinsic.setInput(mYuvin);
mYuvToRgbIntrinsic.forEach(mYuvOut);
if (mBmpout == null) {
mBmpout = Bitmap.createBitmap(width, height, Bitmap.Config.ARGB_8888);
} else if (mBmpout.getWidth() != width || mBmpout.getHeight() != height) {
mBmpout = Bitmap.createBitmap(width, height, Bitmap.Config.ARGB_8888);
}
mYuvOut.copyTo(mBmpout);
Log.i("cjztest", "nv21转bmp" + (System.currentTimeMillis() - start) + "ms");
return mBmpout;
}/**两个bmp按照透明度混合**/
public Bitmap bitmapBlendBitmap(Bitmap bottom, Bitmap top) {
long start = System.currentTimeMillis();
if (mRgbType1 == null || mRgbType2 == null) {
mRgbType1 = new Type.Builder(rs, Element.RGBA_8888(rs)).setX(top.getWidth()).setY(top.getHeight());
mRgbType2 = new Type.Builder(rs, Element.RGBA_8888(rs)).setX(bottom.getWidth()).setY(bottom.getHeight());
mARGBPic1 = Allocation.createTyped(rs, mRgbType1.create(), Allocation.USAGE_SCRIPT);
mARGBPic2 = Allocation.createTyped(rs, mRgbType2.create(), Allocation.USAGE_SCRIPT);
}
mARGBPic1.copyFrom(top);
mARGBPic2.copyFrom(bottom);
//mScriptIntrinsicBlend.forEachAdd(mARGBPic1, mYuvOut);
//mScriptIntrinsicBlend.forEachDstAtop(mARGBPic1, mARGBPic2);
//mScriptIntrinsicBlend.forEachDstIn(mARGBPic1, mARGBPic2);
//mScriptIntrinsicBlend.forEachDstOut(mARGBPic2, mARGBPic1);
mScriptIntrinsicBlend.forEachDstOver(mARGBPic2, mARGBPic1);
if (mBmpout == null) {
mBmpout = Bitmap.createBitmap(top.getWidth(), top.getHeight(), Bitmap.Config.ARGB_8888);
} else if (mBmpout.getWidth() != top.getWidth() || mBmpout.getHeight() != top.getHeight()) {
mBmpout = Bitmap.createBitmap(top.getWidth(), top.getHeight(), Bitmap.Config.ARGB_8888);
}
mARGBPic1.copyTo(mBmpout);
Log.i("cjztest", "两个bmp按照透明度混合使用的时间" + (System.currentTimeMillis() - start) + "ms");
return mBmpout;
}/**传统方法把YUV转jpg**/
public void nv21ToBitmapDirectSave(byte[] nv21, int width, int height, OutputStream os) {
YuvImage im = new YuvImage(nv21, ImageFormat.NV21, width, height, new int[]{width, width, width});
im.compressToJpeg(new Rect(0, 0, width, height), 80, os);
}
}
另外可以符合使用,例如如果你希望实现在NV21上混合一个同样宽高的bmp,可以这么使用,也就是NV21先变成BMP再混合:
Bitmap resultBmp = mYuvUtil.bitmapBlendBitmap(mYuvUtil.nv21ToBitmap(photoBuffer, width, height), waterMarkBmp);
【安卓开发|通过RenderScript 实现 NV21转Bitmap、两张Bitmap按照透明度混合的工具类】
推荐阅读
- opencv|图像处理之椒盐噪声的添加与去除
- OpenCV|【OpenCV 完整例程】89. 带阻滤波器的传递函数
- OpenCV|【OpenCV 完整例程】90. 频率域陷波滤波器
- OpenCV|【OpenCV 完整例程】22. 图像添加非中文文字
- OpenCV|【OpenCV 完整例程】91. 高斯噪声、瑞利噪声、爱尔兰噪声
- 灰度世界算法(Gray World Algorithm)和White Patch Retinex算法
- Qt|Qt For Android 之启动页
- Android开源库——PullToRefresh
- 安卓开发|购物车操作增删改查
- 安卓开发|EventBus