图片模糊处理

1、开源工具类：

package com.cd.imagedemo;

import android.graphics.Bitmap;

/**

* 图像模糊处理

*/

public class FastBlur {

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 <mario@quasimondo.com>

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);

}

}

使用方法：

Bitmap bm=BitmapFactory.decodeResource(getResources(), R.drawable.img);

bm=FastBlur.doBlur(bm, 20,false);//图像模糊处理

效果图：



2、

package com.cd.imagedemo;

import android.graphics.Bitmap;

import android.graphics.Canvas;

import android.graphics.Color;

import android.graphics.PixelFormat;

import android.graphics.drawable.Drawable;

public class ImageUtil {

/**

* 高斯模糊

*

* @param bmp

* @return

*/

public static Bitmap convertToBlur(Bitmap bmp) {

// 高斯矩阵

int[] gauss = new int[] { 1, 2, 1, 2, 4, 2, 1, 2, 1 };

int width = bmp.getWidth();

int height = bmp.getHeight();

Bitmap newBmp = Bitmap.createBitmap(width, height,

Bitmap.Config.RGB_565);

int pixR = 0;

int pixG = 0;

int pixB = 0;

int pixColor = 0;

int newR = 0;

int newG = 0;

int newB = 0;

int delta = 20; // 值越小图片会越亮，越大则越暗

int idx = 0;

int[] pixels = new int[width * height];

bmp.getPixels(pixels, 0, width, 0, 0, width, height);

for (int i = 1, length = height - 1; i < length; i++) {

for (int k = 1, len = width - 1; k < len; k++) {

idx = 0;

for (int m = -1; m <= 1; m++) {

for (int n = -1; n <= 1; n++) {

pixColor = pixels[(i + m) * width + k + n];

pixR = Color.red(pixColor);

pixG = Color.green(pixColor);

pixB = Color.blue(pixColor);

newR = newR + pixR * gauss[idx];

newG = newG + pixG * gauss[idx];

newB = newB + pixB * gauss[idx];

idx++;

}

}

newR /= delta;

newG /= delta;

newB /= delta;

newR = Math.min(255, Math.max(0, newR));

newG = Math.min(255, Math.max(0, newG));

newB = Math.min(255, Math.max(0, newB));

pixels[i * width + k] = Color.argb(255, newR, newG, newB);

newR = 0;

newG = 0;

newB = 0;

}

}

newBmp.setPixels(pixels, 0, width, 0, 0, width, height);

return newBmp;

}

/**

* 图片转成Bitmap

*

* @param drawable

* @return

*/

public static Bitmap drawableToBitmap(Drawable drawable) {

Bitmap bitmap = Bitmap.createBitmap(

drawable.getIntrinsicWidth(),

drawable.getIntrinsicHeight(),

drawable.getOpacity() != PixelFormat.OPAQUE ? Bitmap.Config.ARGB_8888

: Bitmap.Config.RGB_565);

Canvas canvas = new Canvas(bitmap);

// canvas.setBitmap(bitmap);

drawable.setBounds(0, 0, drawable.getIntrinsicWidth(),drawable.getIntrinsicHeight());

drawable.draw(canvas);

return bitmap;

}

}

使用方法：

Bitmap bm=ImageUtil.drawableToBitmap(getResources().getDrawable(R.drawable.img));

bm=ImageUtil.convertToBlur(bm);//高斯模糊

效果图:



模糊前原图片效果：