Android高性能高斯模糊方案
简述:
做直播类app的时候点击进入直播间接通的过程中首先显示一张模糊的毛玻璃效果的图片,那么此时就要考虑使用高斯模糊的时候了。Android中提供了RenderScript来操作图片,但是这个的使用版本要求是在API17以上,所以我们还可以考虑使用第三方可FastBlur。
使用RenderScript方案:
Renderscript是android平台上进行高性能计算的框架。Renderscript主要面向并行计算,虽然它对计算密集型工作也是有益的。Renderscript在运行时将在设备上可用的处理器间平衡负载,比如多核CPU,GPU或者DSP,它让你专注于算法而不是平衡负载。RenderScript对图像处理,计算摄影学,计算机视觉方面的应用非常有用。
为了提高模糊的效果以及减少模糊过程中性能的消耗,首先对待模糊的图片进行压缩。废话少说,上代码:
[html]viewplaincopy在CODE上查看代码片派生到我的代码片
/
类描述:利用RenderScript进行图片的高斯模糊(该方案兼容最低版本API17)
Createdbylizhenyaon16/5/28.
/
publicclassRenderScriptBlur{
privatestaticfinalfloatBITMAP_SCALE=0.4f;
privatestaticfinalintBLUR_RADIUS=7;
publicstaticBitmapblur(Contextcontext,Bitmapbitmap){
returnblur(context,bitmap,BITMAP_SCALE,BLUR_RADIUS);
}
publicstaticBitmapblur(Contextcontext,Bitmapbitmap,floatbitmap_scale){
returnblur(context,bitmap,bitmap_scale,BLUR_RADIUS);
}
publicstaticBitmapblur(Contextcontext,Bitmapbitmap,intblur_radius){
returnblur(context,bitmap,BITMAP_SCALE,blur_radius);
}
@TargetApi(Build.VERSION_CODES.JELLY_BEAN_MR1)
publicstaticBitmapblur(Contextcontext,Bitmapbitmap,floatbitmap_scale,intblur_radius){
//先对图片进行压缩然后再blur
BitmapinputBitmap=Bitmap.createScaledBitmap(bitmap,Math.round(bitmap.getWidth()bitmap_scale),
Math.round(bitmap.getHeight()bitmap_scale),false);
//创建空的Bitmap用于输出
BitmapoutputBitmap=Bitmap.createBitmap(inputBitmap);
//①、初始化Renderscript
RenderScriptrs=RenderScript.create(context);
//②、CreateanIntrinsicBlurScriptusingtheRenderscript
ScriptIntrinsicBlurtheIntrinsic=ScriptIntrinsicBlur.create(rs,Element.U8_4(rs));
//③、native层分配内存空间
AllocationtmpIn=Allocation.createFromBitmap(rs,inputBitmap);
AllocationtmpOut=Allocation.createFromBitmap(rs,outputBitmap);
//④、设置blur的半径然后进行blur
theIntrinsic.setRadius(blur_radius);
theIntrinsic.setInput(tmpIn);
theIntrinsic.forEach(tmpOut);
//⑤、拷贝blur后的数据到java缓冲区中
tmpOut.copyTo(outputBitmap);
//⑥、销毁Renderscript
rs.destroy();
bitmap.recycle();
returnoutputBitmap;
}
}
实际效果如何呢?下面我把多次测试打印出来的日志贴出来:
[html]viewplaincopy在CODE上查看代码片派生到我的代码片
07-2817:16:32.39420734-20734/?E/TAg:耗时时间:30ms
07-2817:16:33.45020734-20734/?E/TAg:耗时时间:13ms
07-2817:16:34.20720734-20734/?E/TAg:耗时时间:7ms
07-2817:16:35.04520734-20734/?E/TAg:耗时时间:9ms
07-2817:16:35.90920734-20734/?E/TAg:耗时时间:6ms
07-2817:16:36.80620734-20734/?E/TAg:耗时时间:9ms
07-2817:16:39.31220734-20734/?E/TAg:耗时时间:7ms
07-2817:16:44.04520734-20734/?E/TAg:耗时时间:8ms
07-2817:16:44.87720734-20734/?E/TAg:耗时时间:8ms
07-2817:16:45.55520734-20734/?E/TAg:耗时时间:13ms
07-2817:16:46.20220734-20734/?E/TAg:耗时时间:8ms
07-2817:16:46.90120734-20734/?E/TAg:耗时时间:9ms
07-2817:16:47.95220734-20734/?E/TAg:耗时时间:7ms
上面的日志可以一眼看得出平均时间是小于16ms的,时间性能杠杠的。但是这个方案只能适用于API17以上的版本,对于低版本怎么办呢?上网搜了一圈,看到一个第三方的框架FastBlur。
使用FastBlur兼容低版本:
[html]viewplaincopy在CODE上查看代码片派生到我的代码片
/
Createdbypaveldon3/6/14.
/
publicclassStackBlur{
publicstaticBitmapdoBlur(BitmapsentBitmap,intradius,booleancanReuseInBitmap){
//StackBlurv1.0from
//http://www.quasimondo.com/StackBlurForCanvas/StackBlurDemo.html
//
//JavaAuthor:MarioKlingemann
//http://incubator.quasimondo.com
//createdFeburary29,2004
//Androidport:YahelBouaziz
//http://www.kayenko.com
//portedapril5th,2012
//ThisisacompromisebetweenGaussianBlurandBoxblur
//ItcreatesmuchbetterlookingblursthanBoxBlur,butis
//7xfasterthanmyGaussianBlurimplementation.
//
//IcalleditStackBlurbecausethisdescribesbesthowthis
//filterworksinternally:itcreatesakindofmovingstack
//ofcolorswhilstscanningthroughtheimage.Therebyit
//justhastoaddonenewblockofcolortotherightside
//ofthestackandremovetheleftmostcolor.Theremaining
//colorsonthetopmostlayerofthestackareeitheraddedon
//orreducedbyone,dependingoniftheyareontherightor
//ontheleftsideofthestack.
//
//Ifyouareusingthisalgorithminyourcodepleaseadd
//thefollowingline:
//
//StackBlurAlgorithmbyMarioKlingemann
Bitmapbitmap;
if(canReuseInBitmap){
bitmap=sentBitmap;
}else{
bitmap=sentBitmap.copy(sentBitmap.getConfig(),true);
}
if(radius<1){
return(null);
}
intw=bitmap.getWidth();
inth=bitmap.getHeight();
int[]pix=newint[wh];
bitmap.getPixels(pix,0,w,0,0,w,h);
intwm=w-1;
inthm=h-1;
intwh=wh;
intdiv=radius+radius+1;
intr[]=newint[wh];
intg[]=newint[wh];
intb[]=newint[wh];
intrsum,gsum,bsum,x,y,i,p,yp,yi,yw;
intvmin[]=newint[Math.max(w,h)];
intdivsum=(div+1)>>1;
divsum=divsum;
intdv[]=newint[256divsum];
for(i=0;i<256divsum;i++){
dv[i]=(i/divsum);
}
yw=yi=0;
int[][]stack=newint[div][3];
intstackpointer;
intstackstart;
int[]sir;
intrbs;
intr1=radius+1;
introutsum,goutsum,boutsum;
intrinsum,ginsum,binsum;
for(y=0;y rinsum=ginsum=binsum=routsum=goutsum=boutsum=rsum=gsum=bsum=0;
for(i=-radius;i<=radius;i++){
p=pix[yi+Math.min(wm,Math.max(i,0))];
sir=stack[i+radius];
sir[0]=(p&0xff0000)>>16;
sir[1]=(p&0x00ff00)>>8;
sir[2]=(p&0x0000ff);
rbs=r1-Math.abs(i);
rsum+=sir[0]rbs;
gsum+=sir[1]rbs;
bsum+=sir[2]rbs;
if(i>0){
rinsum+=sir[0];
ginsum+=sir[1];
binsum+=sir[2];
}else{
routsum+=sir[0];
goutsum+=sir[1];
boutsum+=sir[2];
}
}
stackpointer=radius;
for(x=0;x
r[yi]=dv[rsum];
g[yi]=dv[gsum];
b[yi]=dv[bsum];
rsum-=routsum;
gsum-=goutsum;
bsum-=boutsum;
stackstart=stackpointer-radius+div;
sir=stack[stackstart%div];
routsum-=sir[0];
goutsum-=sir[1];
boutsum-=sir[2];
if(y==0){
vmin[x]=Math.min(x+radius+1,wm);
}
p=pix[yw+vmin[x]];
sir[0]=(p&0xff0000)>>16;
sir[1]=(p&0x00ff00)>>8;
sir[2]=(p&0x0000ff);
rinsum+=sir[0];
ginsum+=sir[1];
binsum+=sir[2];
rsum+=rinsum;
gsum+=ginsum;
bsum+=binsum;
stackpointer=(stackpointer+1)%div;
sir=stack[(stackpointer)%div];
routsum+=sir[0];
goutsum+=sir[1];
boutsum+=sir[2];
rinsum-=sir[0];
ginsum-=sir[1];
binsum-=sir[2];
yi++;
}
yw+=w;
}
for(x=0;x rinsum=ginsum=binsum=routsum=goutsum=boutsum=rsum=gsum=bsum=0;
yp=-radiusw;
for(i=-radius;i<=radius;i++){
yi=Math.max(0,yp)+x;
sir=stack[i+radius];
sir[0]=r[yi];
sir[1]=g[yi];
sir[2]=b[yi];
rbs=r1-Math.abs(i);
rsum+=r[yi]rbs;
gsum+=g[yi]rbs;
bsum+=b[yi]rbs;
if(i>0){
rinsum+=sir[0];
ginsum+=sir[1];
binsum+=sir[2];
}else{
routsum+=sir[0];
goutsum+=sir[1];
boutsum+=sir[2];
}
if(i yp+=w;
}
}
yi=x;
stackpointer=radius;
for(y=0;y //Preservealphachannel:(0xff000000&pix[yi])
pix[yi]=(0xff000000&pix[yi])|(dv[rsum]<<16)|(dv[gsum]<<8)|dv[bsum];
rsum-=routsum;
gsum-=goutsum;
bsum-=boutsum;
stackstart=stackpointer-radius+div;
sir=stack[stackstart%div];
routsum-=sir[0];
goutsum-=sir[1];
boutsum-=sir[2];
if(x==0){
vmin[y]=Math.min(y+r1,hm)w;
}
p=x+vmin[y];
sir[0]=r[p];
sir[1]=g[p];
sir[2]=b[p];
rinsum+=sir[0];
ginsum+=sir[1];
binsum+=sir[2];
rsum+=rinsum;
gsum+=ginsum;
bsum+=binsum;
stackpointer=(stackpointer+1)%div;
sir=stack[stackpointer];
routsum+=sir[0];
goutsum+=sir[1];
boutsum+=sir[2];
rinsum-=sir[0];
ginsum-=sir[1];
binsum-=sir[2];
yi+=w;
}
}
bitmap.setPixels(pix,0,w,0,0,w,h);
return(bitmap);
}
}
这个方案的时间性能惨不忍睹呀,远远大于16ms,
[html]viewplaincopy在CODE上查看代码片派生到我的代码片
07-2818:33:14.75111928-11928/?E/TAg:耗时时间:483ms
07-2818:33:17.60211928-11928/?E/TAg:耗时时间:431ms
07-2818:33:19.17611928-11928/?E/TAg:耗时时间:369ms
07-2818:33:20.45211928-11928/?E/TAg:耗时时间:405ms
07-2818:33:21.59911928-11928/?E/TAg:耗时时间:412ms
07-2818:33:22.79111928-11928/?E/TAg:耗时时间:368ms
07-2818:33:23.97011928-11928/?E/TAg:耗时时间:314ms
07-2818:33:25.05911928-11928/?E/TAg:耗时时间:335ms
07-2818:33:25.88611928-11928/?E/TAg:耗时时间:384ms
07-2818:33:26.80611928-11928/?E/TAg:耗时时间:404ms
07-2818:33:27.42311928-11928/?E/TAg:耗时时间:473ms
07-2818:33:27.95911928-11928/?E/TAg:耗时时间:373ms
封装为工具类:
[html]viewplaincopy在CODE上查看代码片派生到我的代码片
importandroid.annotation.TargetApi;
importandroid.content.Context;
importandroid.graphics.Bitmap;
importandroid.os.Build;
importandroid.renderscript.Allocation;
importandroid.renderscript.Element;
importandroid.renderscript.RenderScript;
importandroid.renderscript.ScriptIntrinsicBlur;
/
@authorlizhenya
@time16/5/28
@类描述:
/
publicclassGauseBulrHelper{
privatestaticfinalfloatBITMAP_SCALE=0.4f;
privatestaticfinalintBLUR_RADIUS=7;
/
@方法描述:模糊图片
@authorlizhenya
@paramcontext
上下文
@parambitmap
待模糊的图片
@return模糊后的图片
/
publicstaticBitmapblur(Contextcontext,Bitmapbitmap){
returnblur(context,bitmap,BLUR_RADIUS,BITMAP_SCALE,true);
}
/
@方法描述:图片进行模糊
@authorlizhenya
@paramcontext
上下文
@parambitmap
待模糊的图片
@paramcanReuseInBitmap
原始Bitmap是否还会使用(如果原始图片还会再次使用则参数设为true,否则会报出java.lang.
IllegalStateException异常,一般情况下设为true防止程序出错)
@return模糊后的图片
/
publicstaticBitmapblur(Contextcontext,Bitmapbitmap,
booleancanReuseInBitmap){
returnblur(context,bitmap,BLUR_RADIUS,BITMAP_SCALE,
canReuseInBitmap);
}
/
@方法描述:
@authorlizhenya
@paramcontext
上下文
@parambitmap
待模糊的图片
@paramblur_radius
模糊半径(1~25的正整数)
@paramcanReuseInBitmap
原始Bitmap是否还会使用(如果原始图片还会再次使用则参数设为true,否则会报出java.lang.
IllegalStateException异常,一般情况下设为true防止程序出错)
@return模糊后的图片
/
publicstaticBitmapblur(Contextcontext,Bitmapbitmap,intblur_radius,
booleancanReuseInBitmap){
returnblur(context,bitmap,blur_radius,BITMAP_SCALE,
canReuseInBitmap);
}
/
@方法描述:
@authorlizhenya
@paramcontext
上下文
@parambitmap
待模糊的图片
@parambitmapScale
图片的压缩因子
@paramcanReuseInBitmap
原始Bitmap是否还会使用(如果原始图片还会再次使用则参数设为true,否则会报出java.lang.
IllegalStateException异常,一般情况下设为true防止程序出错)
@return模糊后的图片
/
publicstaticBitmapblur(Contextcontext,Bitmapbitmap,
floatbitmapScale,booleancanReuseInBitmap){
returnblur(context,bitmap,BLUR_RADIUS,bitmapScale,canReuseInBitmap);
}
publicstaticBitmapblur(Contextcontext,Bitmapbitmap,intblur_radius,
floatbitmapScale,booleancanReuwww.tt951.comseInBitmap){
if(Build.VERSION.SDK_INT>=Build.VERSION_CODES.JELLY_BEAN_MR1){
returnRSBlur(context,bitmap,bitmapScale,blur_radius);
}else{
returndoBlur(bitmap,blur_radius,canReuseInBitmap);
}
}
@TargetApi(Build.VERSION_CODES.JELLY_BEAN_MR1)
publicstaticBitmapRSBlur(Contextcontext,Bitmapbitmap,
floatbitmap_scale,intblur_radius){
//先对图片进行压缩然后再blur
BitmapinputBitmap=Bitmap.createScaledBitmap(bitmap,
Math.round(bitmap.getWidth()bitmap_scale),
Math.round(bitmap.getHeight()bitmap_scale),false);
//创建空的Bitmap用于输出
BitmapoutputBitmap=Bitmap.createBitmap(inputBitmap);
//①、初始化Renderscript
RenderScriptrs=RenderScript.create(context);
//②、CreateanIntrinsicBlurScriptusingtheRenderscript
ScriptIntrinsicBlurtheIntrinsic=ScriptIntrinsicBlur.create(rs,
Element.U8_4(rs));
//③、native层分配内存空间
AllocationtmpIn=Allocation.createFromBitmap(rs,inputBitmap);
AllocationtmpOut=Allocation.createFromBitmap(rs,outputBitmap);
//④、设置blur的半径然后进行blur
theIntrinsic.setRadius(blur_radius);
theIntrinsic.setInput(tmpIn);
theIntrinsic.forwww.baiyuewang.netEach(tmpOut);
//⑤、拷贝blur后的数据到java缓冲区中
tmpOut.copyTo(outputBitmap);
//⑥、销毁Renderscript
rs.destroy();
bitmap.recycle();
returnoutputBitmap;
}
publicstaticBitmapdoBlur(BitmapsentBitmap,intradius,
booleancanReuseInBitmap){
//StackBlurv1.0from
//http://www.quasimondo.com/StackBlurForCanvas/StackBlurDemo.html
//
//JavaAuthor:MarioKlingemann
//http://incubator.quasimondo.com
//createdFeburary29,2004
//Androidport:YahelBouaziz
//http://www.kayenko.com
//portedapril5th,2012
//ThisisacompromisebetweenGaussianBlurandBoxblur
//ItcreatesmuchbetterlookingblursthanBoxBlur,butis
//7xfasterthanmyGaussianBlurimplementation.
//
//IcalleditStackBlurbecausethisdescribesbesthowthis
//filterworksinternally:itcreatesakindofmovingstack
//ofcolorswhilstscanningthroughtheimage.Therebyit
//justhastoaddonenewblockofcolortotherightside
//ofthestackandremovetheleftmostcolor.Theremaining
//colorsonthetopmostlayerofthestackareeitheraddedon
//orreducedbyone,dependingoniftheyareontherightor
//ontheleftsideofthestack.
//
//Ifyouareusingthisalgorithminyourcodepleaseadd
//thefollowingline:
//
//StackBlurAlgorithmbyMarioKlingemann
Bitmapbitmap;
if(canReuseInBitmap){
bitmap=sentBitmap;
}else{
bitmap=sentBitmap.copy(sentBitmap.getConfig(),true);
}
if(radius<1){
return(null);
}
intw=bitmap.getWidth();
inth=bitmap.getHeight();
int[]pix=newint[wh];
bitmap.getPixels(pix,0,w,0,0,w,h);
intwm=w-1;
inthm=h-1;
intwh=wh;
intdiv=radius+radius+1;
intr[]=newint[wh];
intg[]=newint[wh];
intb[]=newint[wh];
intrsum,gsum,bsum,x,y,i,p,yp,yi,yw;
intvmin[]=newint[Math.max(w,h)];
intdivsum=(div+1)>>1;
divsum=divsum;
intdv[]=newint[256divsum];
for(i=0;i<256divsum;i++){
dv[i]=(i/divsum);
}
yw=yi=0;
int[][]stack=newint[div][3];
intstackpointer;
intstackstart;
int[]sir;
intrbs;
intr1=radius+1;
introutsum,goutsum,boutsum;
intrinsum,ginsum,binsum;
for(y=0;y rinsum=ginsum=binsum=routsum=goutsum=boutsum=rsum=gsum=bsum=0;
for(i=-radius;i<=radius;i++){
p=pix[yi+Math.min(wm,Math.max(i,0))];
sir=stack[i+radius];
sir[0]=(p&0xff0000)>>16;
sir[1]=(p&0x00ff00)>>8;
sir[2]=(p&0x0000ff);
rbs=r1-Math.abs(i);
rsum+=sir[0]rbs;
gsum+=sir[1]rbs;
bsum+=sir[2]rbs;
if(i>0){
rinsum+=sir[0];
ginsum+=sir[1];
binsum+=sir[2];
}else{
routsum+=sir[0];
goutsum+=sir[1];
boutsum+=sir[2];
}
}
stackpointer=radius;
for(x=0;x
r[yi]=dv[rsum];
g[yi]=dv[gsum];
b[yi]=dv[bsum];
rsum-=routsum;
gsum-=goutsum;
bsum-=boutsum;
stackstart=stackpointer-radius+div;
sir=stack[stackstart%div];
routsum-=sir[0];
goutsum-=sir[1];
boutsum-=sir[2];
if(y==0){
vmin[x]=Math.min(x+radius+1,wm);
}
p=pix[yw+vmin[x]];
sir[0]=(p&0xff0000)>>16;
sir[1]=(p&0x00ff00)>>8;
sir[2]=(p&0x0000ff);
rinsum+=sir[0];
ginsum+=sir[1];
binsum+=sir[2];
rsum+=rinsum;
gsum+=ginsum;
bsum+=binsum;
stackpointer=(stackpointer+1)%div;
sir=stack[(stackpointer)%div];
routsum+=sir[0];
goutsum+=sir[1];
boutsum+=sir[2];
rinsum-=sir[0];
ginsum-=sir[1];
binsum-=sir[2];
yi++;
}
yw+=w;
}
for(x=0;x rinsum=ginsum=binsum=routsum=goutsum=boutsum=rsum=gsum=bsum=0;
yp=-radiusw;
for(i=-radius;i<=radius;i++){
yi=Math.max(0,yp)+x;
sir=stack[i+radius];
sir[0]=r[yi];
sir[1]=g[yi];
sir[2]=b[yi];
rbs=r1-Math.abs(i);
rsum+=r[yi]rbs;
gsum+=g[yi]rbs;
bsum+=b[yi]rbs;
if(i>0){
rinsum+=sir[0];
ginsum+=sir[1];
binsum+=sir[2];
}else{
routsum+=sir[0];
goutsum+=sir[1];
boutsum+=sir[2];
}
if(i yp+=w;
}
}
yi=x;
stackpointer=radius;
for(y=0;y //Preservealphachannel:(0xff000000&pix[yi])
pix[yi]=(0xff000000&pix[yi])|(dv[rsum]<<16)
|(dv[gsum]<<8)|dv[bsum];
rsum-=routsum;
gsum-=goutsum;
bsum-=boutsum;
stackstart=stackpointer-radius+div;
sir=stack[stackstart%div];
routsum-=sir[0];
goutsum-=sir[1];
boutsum-=sir[2];
if(x==0){
vmin[y]=Math.min(y+r1,hm)w;
}
p=x+vmin[y];
sir[0]=r[p];
sir[1]=g[p];
sir[2]=b[p];
rinsum+=sir[0];
ginsum+=sir[1];
binsum+=sir[2];
rsum+=rinsum;
gsum+=ginsum;
bsum+=binsum;
stackpointer=(stackpointer+1)%div;
sir=stack[stackpointer];
routsum+=sir[0];
goutsum+=sir[1];
boutsum+=sir[2];
rinsum-=sir[0];
ginsum-=sir[1];
binsum-=sir[2];
yi+=w;
}
}
bitmap.setPixels(pix,0,w,0,0,w,h);
return(bitmap);
}
}
工具类的使用:
[html]viewplaincopy在CODE上查看代码片派生到我的代码片
//四种方式任选其一
Bitmapblur=GauseBulrHelper.blur(getApplicationContext(),bitmap);
Bitmapblur2=GauseBulrHelper.blur(getApplicationContext(),bitmap,
true);
Bitmapblur3=GauseBulrHelper.blur(getApplicationContext(),bitmap,7,
true);
Bitmapblur4=GauseBulrHelper.blur(getApplicationContext(),bitmap,
(float)0.4,true);
Bitmapblur5=GauseBulrHelper.blur(getApplicationContext(),bitmap,7,
(float)0.4,true);
imageView.setImageBitmap(bitmap);
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