本文实例为大家分享了本地图片或者网络图片高斯模糊效果（毛玻璃效果），具体内容如下
首先看效果图
1.本地图片高斯模糊
2.网络图片高斯模糊
github网址：https://github.com/qiushi123/blurimageqcl
下面是使用步骤
一、实现本地图片或者网络图片的毛玻璃效果特别方便，只需要把下面的fastblurutil类复制到你的项目中就行
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package com.testdemo.blur_image_lib10; 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; /** * created by qcl on 14/7/15. */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: * <p> * a.网络路径: url="http://blog.foreverlove.us/girl2.png" ; * <p> * b.本地路径:url="file://mnt/sdcard/photo/image.png"; * <p> * 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); } } |
二、使用实例
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package com.testdemo; import android.app.activity; import android.content.res.resources; import android.graphics.bitmap; import android.graphics.bitmapfactory; import android.os.bundle; import android.text.textutils; import android.view.view; import android.widget.edittext; import android.widget.imageview; import com.testdemo.blur_image_lib10.fastblurutil; public class mainactivity10_blurimage extends activity { imageview image; edittext edit; @override protected void oncreate(bundle savedinstancestate) { super.oncreate(savedinstancestate); setcontentview(r.layout.activity_main10_blur_image); 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() {//这个是我自己封装的在主线程中刷新ui的方法。 @override public void run() { image.setscaletype(imageview.scaletype.center_crop); image.setimagebitmap(blurbitmap2); } }); } }).start(); } }); } } |
下面是上面的布局文件
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<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: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="220dp"android:layout_below="@+id/image2"/> </linearlayout> |
三、注意事项
1.一定不要忘记intent权限
2.加载网络图片时一定要在子线程中执行。
github网址：https://github.com/qiushi123/blurimageqcl
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服务器之家。
