模糊（毛玻璃）

全局模糊（可用于生成壁纸）：https://blog.csdn.net/oHeHeHou/article/details/51975539

局部(模拟玻璃片）模糊：https://blog.csdn.net/u010852544/article/details/43967749

安卓模糊：（可以调节模糊度）

调用函数：Bitmap blur(Bitmap scaledBitmap, ImageView background,String picPath)

   private Bitmap blur(Bitmap scaledBitmap, ImageView background,String picPath) {
	        //        获取需要被模糊的原图bitmap
	        if(picPath!=null){
	            FileInputStream fis = null;
	            try {
	                fis = new FileInputStream(picPath);
	                scaledBitmap  = BitmapFactory.decodeStream(fis);
 	                fis.close();
  	            } catch (FileNotFoundException e) {
   	                e.printStackTrace();
    	            } catch (IOException e) {	     
                e.printStackTrace();
      	 
		 		  }

        }else{
            Resources res = getResources();
            scaledBitmap = BitmapFactory.decodeResource(res, R.drawable.a);
        }

        //        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, 5);
        background.setScaleType(ImageView.ScaleType.CENTER_CROP);
        background.setImageBitmap(blurBitmap);
        return  blurBitmap;
    }

工具类:FastBlurUtil.java

package com.example.fastblur;

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;


/**
 * https://blog.csdn.net/qiushi_1990/article/details/50886183
 */
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);
    }
    }