安卓Andriod使用入门(四)【图片毛玻璃效果】

来源：互联网发布：c语言cos函数怎么表示编辑：程序博客网时间：2024/05/17 06:11

凡夫俗子只关心如何去打发时间，而略具才华的人却考虑如何应用时间。 ——叔本华

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:

这里写图片描述

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