之前做过高斯模糊的的效果,不过依赖一个三方库,今天看到了一篇文章,一个类文件就能解决,感觉窃喜,分享给大家。
三方库android-stackblur:https://github.com/kikoso/android-stackblur
使用:
Glide.with(getActivity()).load(mUser.avatarUrl).asBitmap().into(new SimpleTarget() {
@Override
public void onResourceReady(Bitmap resource, GlideAnimation super Bitmap> glideAnimation) {
if(resource != null) {
StackBlurManager stackBlurManager = new StackBlurManager(resource);
Bitmap bitmap = stackBlurManager.process(20);
mUserContainer.setBackground(new BitmapDrawable(getResources(),bitmap));
}
}
});
使用简单方便。
正文开始。
我要做的效果就是自定义image大小,自定义高斯模糊的区域,这样才算我要的效果。
先上图分别是优化前和优化后的,大家可想这个优化的作用多么巨大,我直接把这个效果的显示耗时在界面绘制出来了,下面图片中的单位打错了额,是ms。
说下实现吧,那个算法我就没有怎么研究了,直接是个算法类,直接把要模糊的Bitmap传进去返回的就是模糊后的。代码如下:
public class FastBlur {
public static Bitmap doBlur(Bitmap sentBitmap, int radius, boolean canReuseInBitmap) {
// Stack Blur v1.0 from
// http://www.quasimondo.com/StackBlurForCanvas/StackBlurDemo.html
//
// Java Author: Mario Klingemann
// http://incubator.quasimondo.com
// created Feburary 29, 2004
// Android port : Yahel Bouaziz
// http://www.kayenko.com
// ported april 5th, 2012
// This is a compromise between Gaussian Blur and Box blur
// It creates much better looking blurs than Box Blur, but is
// 7x faster than my Gaussian Blur implementation.
//
// I called it Stack Blur because this describes best how this
// filter works internally: it creates a kind of moving stack
// of colors whilst scanning through the image. Thereby it
// just has to add one new block of color to the right side
// of the stack and remove the leftmost color. The remaining
// colors on the topmost layer of the stack are either added on
// or reduced by one, depending on if they are on the right or
// on the left side of the stack.
//
// If you are using this algorithm in your code please add
// the following line:
//
// Stack Blur Algorithm by Mario Klingemann
Bitmap bitmap;
if (canReuseInBitmap) {
bitmap = sentBitmap;
} else {
bitmap = sentBitmap.copy(sentBitmap.getConfig(), true);
}
if (radius < 1) {
return (null);
}
int w = bitmap.getWidth();
int h = bitmap.getHeight();
int[] pix = new int[w * h];
bitmap.getPixels(pix, 0, w, 0, 0, w, h);
int wm = w - 1;
int hm = h - 1;
int wh = w * h;
int div = radius + radius + 1;
int r[] = new int[wh];
int g[] = new int[wh];
int b[] = new int[wh];
int rsum, gsum, bsum, x, y, i, p, yp, yi, yw;
int vmin[] = new int[Math.max(w, h)];
int divsum = (div + 1) >> 1;
divsum *= divsum;
int dv[] = new int[256 * divsum];
for (i = 0; i < 256 * divsum; i++) {
dv[i] = (i / divsum);
}
yw = yi = 0;
int[][] stack = new int[div][3];
int stackpointer;
int stackstart;
int[] sir;
int rbs;
int r1 = radius + 1;
int routsum, goutsum, boutsum;
int rinsum, ginsum, binsum;
for (y = 0; y < h; 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 < w; 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 < w; x++) {
rinsum = ginsum = binsum = routsum = goutsum = boutsum = rsum = gsum = bsum = 0;
yp = -radius * w;
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 < hm) {
yp += w;
}
}
yi = x;
stackpointer = radius;
for (y = 0; y < h; y++) {
// Preserve alpha channel: ( 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);
}
}
接下来就是在代码中去用了。
先上优化前的方法:因为下面红字部分那句的代码把我坑惨了,原来用了matrix,在新建的时候还是要用matrix前的大小,我也是晕的不要不要的了。。。
还有注意要根据演示区域的大小,缩放bitmap的大小后再剪裁,再模糊。
这里顺便熟悉了canvas,drawBitmap,放大缩小的一些方法
public void test(View v) {
Bitmap srcbitmap = BitmapFactory.decodeResource(getResources(),
R.drawable.meitu);
long t1 = System.currentTimeMillis();
imageView.setBackground(new BitmapDrawable(getResources(), srcbitmap));// 设置大背景
Bitmap backBitmap = Bitmap.createBitmap(textView.getMeasuredWidth(),// 设置需高斯模糊的背景
textView.getMeasuredHeight(), Config.RGB_565);
float f1 = (float) imageView.getMeasuredWidth()
/ (float) srcbitmap.getWidth();
float f2 = (float) imageView.getMeasuredHeight()
/ (float) srcbitmap.getHeight();
Matrix matrix = new Matrix();
matrix.postScale(f1, f2);
Bitmap desBitmap = Bitmap.createBitmap(srcbitmap, 0, 0,
srcbitmap.getWidth(), srcbitmap.getHeight(), matrix, true); //因为作为背景的bmp已经缩放,那么需要剪裁的bmp也要缩放----------这里3/4参数是坑
Bitmap lastBitmap = Bitmap.createBitmap(desBitmap, textView.getLeft(),
textView.getTop(), textView.getMeasuredWidth(),
textView.getMeasuredHeight()); // 根据模糊的区域剪裁
Canvas canvas = new Canvas(backBitmap);
canvas.drawBitmap(lastBitmap, 0, 0, new Paint());
backBitmap = FastBlur.doBlur(backBitmap, (int) 20, true);
textView.setBackground(new BitmapDrawable(getResources(), backBitmap));
long t2 = System.currentTimeMillis();
textView.setText((t2 - t1) + "S");// 319S
}
下面是优化后的方法:
其实现原理是反正效果也是模糊的,先把图片弄小模糊,再把模糊放大,这样就减少了算法的复杂度
public void test2(View v) {
int rad = 8;
Bitmap srcbitmap = BitmapFactory.decodeResource(getResources(),
R.drawable.meitu);
long t1 = System.currentTimeMillis();
imageView.setBackground(new BitmapDrawable(getResources(), srcbitmap));// 设置大背景
Bitmap backBitmap = Bitmap.createBitmap(textView.getMeasuredWidth()/rad,// 设置需高斯模糊的背景
textView.getMeasuredHeight()/rad, Config.RGB_565);
float f1 = (float) imageView.getMeasuredWidth()
/ (float) srcbitmap.getWidth();
float f2 = (float) imageView.getMeasuredHeight()
/ (float) srcbitmap.getHeight();
Matrix matrix = new Matrix();
matrix.postScale(f1/8, f2/8);
Bitmap desBitmap = Bitmap.createBitmap(srcbitmap, 0, 0,
srcbitmap.getWidth(), srcbitmap.getHeight(), matrix, true); // 因为作为背景的bmp已经缩放,那么需要剪裁的bmp也要缩放----------这里3/4参数是坑
Bitmap lastBitmap = Bitmap.createBitmap(desBitmap, textView.getLeft()/8,
textView.getTop()/8, textView.getMeasuredWidth()/8,
textView.getMeasuredHeight()/8); // 根据模糊的区域剪裁
Canvas canvas = new Canvas(backBitmap);
canvas.drawBitmap(lastBitmap, 0, 0, new Paint());
backBitmap = FastBlur.doBlur(backBitmap, (int) 2, true);
canvas.scale(1/rad, 1/rad);
textView.setBackground(new BitmapDrawable(getResources(), backBitmap));
long t2 = System.currentTimeMillis();
textView.setText((t2 - t1) + "S");// 2S
}
摘自:http://blog.csdn.net/scboyhj__/article/details/50273059