本教程为大家分享了android毛玻璃效果的具体代码，供大家参考，具体内容如下
blurimageactivity.java代码:
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package com.siso.crazyworld;
import android.content.res.resources;
import android.graphics.bitmap;
import android.graphics.bitmapfactory;
import android.support.v7.app.appcompatactivity;
import android.os.bundle;
import android.text.textutils;
import android.view.view;
import android.widget.edittext;
import android.widget.imageview;
import com.siso.crazyworld.utils.app;
import com.siso.crazyworld.utils.fastblurutil;
public class blurimageactivity extends appcompatactivity {
imageview image;
edittext edit;
@override
protected void oncreate(bundle savedinstancestate) {
super.oncreate(savedinstancestate);
setcontentview(r.layout.activity_blurimage);
image = (imageview) findviewbyid(r.id.image);
edit = (edittext) findviewbyid(r.id.edit);
findviewbyid(r.id.button2).setonclicklistener(new view.onclicklistener() {
@override
public void onclick(view v) {
string pattern = edit.gettext().tostring();
int scaleratio = 0;
if (textutils.isempty(pattern)) {
scaleratio = 0;
} else if (scaleratio < 0) {
scaleratio = 10;
} else {
scaleratio = integer.parseint(pattern);
}
// 获取需要被模糊的原图bitmap
resources res = getresources();
bitmap scaledbitmap = bitmapfactory.decoderesource(res, r.drawable.filter);
// scaledbitmap为目标图像，10是缩放的倍数（越大模糊效果越高）
bitmap blurbitmap = fastblurutil.toblur(scaledbitmap, scaleratio);
image.setscaletype(imageview.scaletype.center_crop);
image.setimagebitmap(blurbitmap);
}
});
findviewbyid(r.id.button).setonclicklistener(new view.onclicklistener() {
@override
public void onclick(view v) {
//url为网络图片的url，10 是缩放的倍数（越大模糊效果越高）
final string pattern = edit.gettext().tostring();
final string url =
// "http://imgs.duwu.me/duwu/doc/cover/201601/18/173040803962.jpg";
"http://b.hiphotos.baidu.com/album/pic/item/caef76094b36acafe72d0e667cd98d1000e99c5f.jpg?psign=e72d0e667cd98d1001e93901213fb80e7aec54e737d1b867";
new thread(new runnable() {
@override
public void run() {
int scaleratio = 0;
if (textutils.isempty(pattern)) {
scaleratio = 0;
} else if (scaleratio < 0) {
scaleratio = 10;
} else {
scaleratio = integer.parseint(pattern);
}
// 下面的这个方法必须在子线程中执行
final bitmap blurbitmap2 = fastblurutil.geturlbitmap(url, scaleratio);
// 刷新ui必须在主线程中执行
app.runonuithread(new runnable() {
@override
public void run() {
image.setscaletype(imageview.scaletype.center_crop);
image.setimagebitmap(blurbitmap2);
}
});
}
}).start();
}
});
}
}
activity_blurimage.xml内容:
<?xml version="1.0" encoding="utf-8"?>
<linearlayout xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:tools="http://schemas.android.com/tools"
android:layout_width="match_parent"
android:layout_height="match_parent"
android:orientation="vertical">
<imageview
android:id="@+id/image2"
android:layout_width="match_parent"
android:layout_height="220dp"
android:scaletype="centercrop"
android:background="@drawable/filter"/>
<linearlayout
android:layout_width="match_parent"
android:layout_height="wrap_content"
android:orientation="horizontal">
<edittext
android:id="@+id/edit"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:layout_margintop="15dp"
android:hint="输入模糊度"
/>
<button
android:id="@+id/button2"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:text="转化毛玻璃"/>
<button
android:id="@+id/button"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:layout_marginleft="4dp"
android:text="转化网络图片毛玻璃"/>
</linearlayout>
<imageview
android:id="@+id/image"
android:layout_width="match_parent"
android:layout_height="240dp"
android:layout_below="@+id/image2"
/>
</linearlayout>
utils文件夹下app.java代码:
package com.siso.crazyworld.utils;
import android.app.application;
import android.os.handler;
public class app extends application {
private static app sinstance;
public static app getinstance() {
return sinstance;
}
/**
* 在主线程中刷新ui的方法
*
* @param r
*/
public static void runonuithread(runnable r) {
app.getmainhandler().post(r);
}
/**
* app的入口函数
*/
@override
public void oncreate() {
super.oncreate();
//初始化context
sinstance = this;
//初始化handler
mhandler = new handler();
}
//qcl用来在主线程中刷新ui
private static handler mhandler;
public static handler getmainhandler() {
return mhandler;
}
}
fastblurutil.cs代码:
package com.siso.crazyworld.utils;
import android.graphics.bitmap;
import android.graphics.bitmapfactory;
import java.io.bufferedinputstream;
import java.io.bufferedoutputstream;
import java.io.bytearrayoutputstream;
import java.io.ioexception;
import java.io.inputstream;
import java.io.outputstream;
import java.net.url;
public class fastblurutil {
/**
* 根据imagepath获取bitmap
*/
/**
* 得到本地或者网络上的bitmap url - 网络或者本地图片的绝对路径,比如:
* a.网络路径: url="http://blog.foreverlove.us/girl2.png" ;
* b.本地路径:url="file://mnt/sdcard/photo/image.png";
* c.支持的图片格式 ,png, jpg,bmp,gif等等
* @param url
* @return
*/
public static int io_buffer_size = 2 * 1024;
public static bitmap geturlbitmap(string url, int scaleratio) {
int blurradius = 8;//通常设置为8就行。
if (scaleratio <= 0) {
scaleratio = 10;
}
bitmap originbitmap = null;
inputstream in = null;
bufferedoutputstream out = null;
try {
in = new bufferedinputstream(new url(url).openstream(), io_buffer_size);
final bytearrayoutputstream datastream = new bytearrayoutputstream();
out = new bufferedoutputstream(datastream, io_buffer_size);
copy(in, out);
out.flush();
byte[] data = datastream.tobytearray();
originbitmap = bitmapfactory.decodebytearray(data, 0, data.length);
bitmap scaledbitmap = bitmap.createscaledbitmap(originbitmap,
originbitmap.getwidth() / scaleratio,
originbitmap.getheight() / scaleratio,
false);
bitmap blurbitmap = doblur(scaledbitmap, blurradius, true);
return blurbitmap;
} catch (ioexception e) {
e.printstacktrace();
return null;
}
}
private static void copy(inputstream in, outputstream out)
throws ioexception {
byte[] b = new byte[io_buffer_size];
int read;
while ((read = in.read(b)) != -1) {
out.write(b, 0, read);
}
}
// 把本地图片毛玻璃化
public static bitmap toblur(bitmap originbitmap, int scaleratio) {
// int scaleratio = 10;
// 增大scaleratio缩放比，使用一样更小的bitmap去虚化可以到更好的得模糊效果，而且有利于占用内存的减小；
int blurradius = 8;//通常设置为8就行。
//增大blurradius，可以得到更高程度的虚化，不过会导致cpu更加intensive
/* 其中前三个参数很明显，其中宽高我们可以选择为原图尺寸的1/10；
第四个filter是指缩放的效果，filter为true则会得到一个边缘平滑的bitmap，
反之，则会得到边缘锯齿、pixelrelated的bitmap。
这里我们要对缩放的图片进行虚化，所以无所谓边缘效果，filter=false。*/
if (scaleratio <= 0) {
scaleratio = 10;
}
bitmap scaledbitmap = bitmap.createscaledbitmap(originbitmap,
originbitmap.getwidth() / scaleratio,
originbitmap.getheight() / scaleratio,
false);
bitmap blurbitmap = doblur(scaledbitmap, blurradius, true);
return blurbitmap;
}
public static bitmap doblur(bitmap sentbitmap, int radius, boolean canreuseinbitmap) {
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);
}
}
运行结果如图:
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