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:
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:
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持脚本之家。