设置磨砂效果的背景图

这个是做东西的时候从同学那里拷来的类，还不错，自己记录一下。我在用的时候只试过整个布局文件的背景图，其他情况暂未尝试，所以大家可以尝试使用。
这里我就直接把这个工具类贴出来。

先贴调用的代码吧。

//初始化背景    private void wallpaperinit(){        Resources res=getResources();        //我做的时候是直接放在资源文件夹Mipmap下的        Bitmap bitmap= BitmapFactory.decodeResource(res,R.mipmap.wallpaper1);        //设置第二个参数调整磨砂效果，1就是平常较常见的磨砂效果，其他数值大家可以自行尝试        BitmapDrawable bd=new BitmapDrawable(res,BlurUtil.doBlur(bitmap,1,15));        relativeLayout.setBackground(bd);    }

工具类 BlurUtil

import android.graphics.Bitmap;import android.media.ThumbnailUtils;/** * 图片虚化辅助类 * Created by jay on 11/7/15. */public class BlurUtil {    private static final String TAG = BlurUtil.class.getSimpleName();    /**     * 对图片进行毛玻璃化     * @param sentBitmap 位图     * @param radius 虚化程度     * @param canReuseInBitmap 是否重用     * @return 位图     */    public static Bitmap doBlur(Bitmap sentBitmap, int radius, boolean canReuseInBitmap) {        // Stack Blur v1.0 from        // http://www.quasimondo.com/StackBlurForCanvas/StackBlurDemo.html        //        // Java Author: Mario Klingemann <mario at quasimondo.com>        // http://incubator.quasimondo.com        // created Feburary 29, 2004        // Android port : Yahel Bouaziz <yahel at kayenko.com>        // http://www.kayenko.com        // ported april 5th, 2012        // This is a compromise between Gaussian Blur and Box blur        // It creates much better looking blurs than Box Blur, but is        // 7x faster than my Gaussian Blur implementation.        //        // I called it Stack Blur because this describes best how this        // filter works internally: it creates a kind of moving stack        // of colors whilst scanning through the image. Thereby it        // just has to add one new block of color to the right side        // of the stack and remove the leftmost color. The remaining        // colors on the topmost layer of the stack are either added on        // or reduced by one, depending on if they are on the right or        // on the left side of the stack.        //        // If you are using this algorithm in your code please add        // the following line:        //        // Stack Blur Algorithm by Mario Klingemann <[e-mail]>        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);//        print("虚化后 ",bitmap);        return (bitmap);    }    /**     * 对图片进行毛玻璃化     * @param originBitmap 位图     * @param scaleRatio 缩放比率     * @param blurRadius 毛玻璃化比率，虚化程度     * @return 位图     */    public static Bitmap doBlur(Bitmap originBitmap, int scaleRatio, int blurRadius){//        print("原图：：",originBitmap);        Bitmap scaledBitmap = Bitmap.createScaledBitmap(originBitmap,                originBitmap.getWidth() / scaleRatio,                originBitmap.getHeight() / scaleRatio,                false);        Bitmap blurBitmap = doBlur(scaledBitmap, blurRadius, false);        scaledBitmap.recycle();        return blurBitmap;    }//    private static void print(String tag, Bitmap originBitmap) {//        StringBuilder sb = new StringBuilder(tag);//        sb.append( String.format("  width=%s,",originBitmap.getWidth()));//        sb.append( String.format(" height=%s,",originBitmap.getHeight()));//        Log.i(TAG,sb.toString());//    }    /**     * 对图片进行 毛玻璃化，虚化     * @param originBitmap 位图     * @param width 缩放后的期望宽度     * @param height 缩放后的期望高度     * @param blurRadius 虚化程度     * @return 位图     */    public static Bitmap doBlur(Bitmap originBitmap,int width,int height,int blurRadius){        Bitmap thumbnail = ThumbnailUtils.extractThumbnail(originBitmap, width, height);        Bitmap blurBitmap = doBlur(thumbnail, blurRadius, true);        thumbnail.recycle();        return blurBitmap;    }}