Currently in an Android application that I'm developing I'm开发者_如何学编程 looping through the pixels of an image to blur it. This takes about 30 seconds on a 640x480 image.
While browsing apps in the Android Market I came across one that includes a blur feature and their blur is very fast (like 5 seconds) so they must be using a different method of blurring.
Anyone know a faster way other than looping through the pixels?
For future Googlers, here is an algorithm that I ported from Quasimondo. It's kind of a mix between a box blur and a gaussian blur, it's very pretty and quite fast too.
Update for people encountering the ArrayIndexOutOfBoundsException problem : @anthonycr in the comments provides this information :
I found that by replacing Math.abs with StrictMath.abs or some other abs implementation, the crash does not occur.
/**
* 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>
*/
public Bitmap fastblur(Bitmap sentBitmap, float scale, int radius) {
int width = Math.round(sentBitmap.getWidth() * scale);
int height = Math.round(sentBitmap.getHeight() * scale);
sentBitmap = Bitmap.createScaledBitmap(sentBitmap, width, height, false);
Bitmap 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];
Log.e("pix", w + " " + h + " " + pix.length);
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;
}
}
Log.e("pix", w + " " + h + " " + pix.length);
bitmap.setPixels(pix, 0, w, 0, 0, w, h);
return (bitmap);
}
Android Blur Guide 2016
with Showcase/Benchmark App and Source on Github. Also check out the Blur framework I'm currently working on: Dali.
After experimenting a lot I can now safely give you some solid recommendations that will make your life easier in Android when using the Android Framework.
Load and Use a downscaled Bitmap (for very blurry images)
Never use a the full size of a Bitmap. The bigger the image the more needs to be blurred and also the higher the blur radius needs to be and usually, the higher the blur radius the longer the algorithm takes.
final BitmapFactory.Options options = new BitmapFactory.Options();
options.inSampleSize = 8;
Bitmap blurTemplate = BitmapFactory.decodeResource(getResources(), R.drawable.myImage, options);
This will load the bitmap with inSampleSize 8, so only 1/64 of the original image. Test what inSampleSize suits your needs, but keep it 2^n (2,4,8,...) to avoid degrading quality due to scaling. See Google doc for more
Another really big advantage is that bitmap loading will be really fast. In my early blur testing I figured that the longest time during the whole blur process was the image loading. So to load a 1920x1080 image from disk my Nexus 5 needed 500ms while the blurring only took another 250 ms or so.
Use Renderscript
Renderscript provides ScriptIntrinsicBlur which is a Gaussian blur filter. It has good visual quality and is just the fastest you realistically get on Android. Google claims to be "typically 2-3x faster than a multithreaded C implementation and often 10x+ faster than a Java implementation". Renderscript is really sophisticated (using the fastest processing device (GPU, ISP, etc.), etc.) and there is also the v8 support library for it making it compatible down to 2.2. Well at least in theory, through my own tests and reports from other devs it seems that it is not possible to use Renderscript blindly, since the hardware/driver fragmentation seems to cause problems with some devices, even with higher sdk lvl (e.g. I had troubles with the 4.1 Nexus S) so be careful and test on a lot of devices. Here's a simple example that will get you started:
//define this only once if blurring multiple times
RenderScript rs = RenderScript.create(context);
(...)
//this will blur the bitmapOriginal with a radius of 8 and save it in bitmapOriginal
final Allocation input = Allocation.createFromBitmap(rs, bitmapOriginal); //use this constructor for best performance, because it uses USAGE_SHARED mode which reuses memory
final Allocation output = Allocation.createTyped(rs, input.getType());
final ScriptIntrinsicBlur script = ScriptIntrinsicBlur.create(rs, Element.U8_4(rs));
script.setRadius(8f);
script.setInput(input);
script.forEach(output);
output.copyTo(bitmapOriginal);
When using the v8 support with Gradle, which is specifically recommended by Google "because they include the latest improvements", you only need to add 2 lines to your build script and use android.support.v8.renderscript with current build tools (updated syntax for android Gradle plugin v14+)
android {
...
defaultConfig {
...
renderscriptTargetApi 19
renderscriptSupportModeEnabled true
}
}
Simple benchmark on a Nexus 5 - comparing RenderScript with different other java and Renderscript implementations:
Each value is the avg of 250 rounds. RS_GAUSS_FAST is ScriptIntrinsicBlur (and nearly always the fastest), others that start with RS_ are mostly convolve implementations with simple kernels. The details of the algorithms can be found here. This is not purely blurring, since a good portion is garbage collection that is measured. This can be seen in this here (ScriptIntrinsicBlur on a 100x100 image with about 500 rounds)
The spikes are gc.
You can check for yourself, the benchmark app is in the playstore: BlurBenchmark
Reuses Bitmap wherever possible (if prio: performance > memory footprint)
If you need multiple blurs for a live blur or similar and your memory allows it do not load the bitmap from drawables multiple times, but keep it "cached" in a member variable. In this case always try to use the same variables, to keep garbage collecting to a minimum.
Also check out the new inBitmap option when loading from a file or drawable which will reuse the bitmap memory and save garbage collection time.
For blending from sharp to blurry
The simple and naive method is just to use 2 ImageViews, one blurred, and alpha fade them. But if you want a more sophisticated look that smoothly fades from sharp to blurry, then check out Roman Nurik's post about how to do it like in his Muzei app.
Basically he explains that he pre-blurs some frames with different blur extents and uses them as keyframes in an animation that looks really smooth.
This is a shot in the dark, but you might try shrinking the image and then enlarging it again. This can be done with Bitmap.createScaledBitmap(Bitmap src, int dstWidth, int dstHeight, boolean filter). Make sure and set the filter parameter to true. It'll run in native code so it might be faster.
EDIT (April 2014): This is a question/answer page that still gets a lot of hits it seems. I know I'm always getting upvotes for this post. But if you're reading this, you need to realize the answers posted here (both mine and the accepted answer) are out of date. If you want to implement efficient blur today, you should use RenderScript instead of the NDK or Java. RenderScript runs on Android 2.2+ (using the Android Support Library), so there's no reason not to use it.
The old answer follows, but beware as it's outdated.
For future² Googlers, here is an algorithm that I ported from Yahel's port of Quasimondo's algorithm, but using the NDK. It's based on Yahel's answer, of course. But this is running native C code, so it's faster. Much faster. Like, 40 times faster.
I find that using the NDK is how all image manipulation should be done on Android... it's somewhat annoying to implement at first (read a great tutorial on using JNI and the NDK here), but much better, and near real time for a lot of things.
For reference, using Yahel's Java function, it took 10 seconds to blur my 480x532 pixels image with a blur radius of 10. But it took 250ms using the native C version. And I'm pretty sure it can still be further optimized... I just did a dumb conversion of the java code, there's probably some manipulations that can be shortened, didn't want to spend too much time refactoring the whole thing.
#include <jni.h>
#include <string.h>
#include <math.h>
#include <stdio.h>
#include <android/log.h>
#include <android/bitmap.h>
#define LOG_TAG "libbitmaputils"
#define LOGI(...) __android_log_print(ANDROID_LOG_INFO,LOG_TAG,__VA_ARGS__)
#define LOGE(...) __android_log_print(ANDROID_LOG_ERROR,LOG_TAG,__VA_ARGS__)
typedef struct {
uint8_t red;
uint8_t green;
uint8_t blue;
uint8_t alpha;
} rgba;
JNIEXPORT void JNICALL Java_com_insert_your_package_ClassName_functionToBlur(JNIEnv* env, jobject obj, jobject bitmapIn, jobject bitmapOut, jint radius) {
LOGI("Blurring bitmap...");
// Properties
AndroidBitmapInfo infoIn;
void* pixelsIn;
AndroidBitmapInfo infoOut;
void* pixelsOut;
int ret;
// Get image info
if ((ret = AndroidBitmap_getInfo(env, bitmapIn, &infoIn)) < 0 || (ret = AndroidBitmap_getInfo(env, bitmapOut, &infoOut)) < 0) {
LOGE("AndroidBitmap_getInfo() failed ! error=%d", ret);
return;
}
// Check image
if (infoIn.format != ANDROID_BITMAP_FORMAT_RGBA_8888 || infoOut.format != ANDROID_BITMAP_FORMAT_RGBA_8888) {
LOGE("Bitmap format is not RGBA_8888!");
LOGE("==> %d %d", infoIn.format, infoOut.format);
return;
}
// Lock all images
if ((ret = AndroidBitmap_lockPixels(env, bitmapIn, &pixelsIn)) < 0 || (ret = AndroidBitmap_lockPixels(env, bitmapOut, &pixelsOut)) < 0) {
LOGE("AndroidBitmap_lockPixels() failed ! error=%d", ret);
}
int h = infoIn.height;
int w = infoIn.width;
LOGI("Image size is: %i %i", w, h);
rgba* input = (rgba*) pixelsIn;
rgba* output = (rgba*) pixelsOut;
int wm = w - 1;
int hm = h - 1;
int wh = w * h;
int whMax = max(w, h);
int div = radius + radius + 1;
int r[wh];
int g[wh];
int b[wh];
int rsum, gsum, bsum, x, y, i, yp, yi, yw;
rgba p;
int vmin[whMax];
int divsum = (div + 1) >> 1;
divsum *= divsum;
int dv[256 * divsum];
for (i = 0; i < 256 * divsum; i++) {
dv[i] = (i / divsum);
}
yw = yi = 0;
int stack[div][3];
int stackpointer;
int stackstart;
int rbs;
int ir;
int ip;
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 = input[yi + min(wm, max(i, 0))];
ir = i + radius; // same as sir
stack[ir][0] = p.red;
stack[ir][1] = p.green;
stack[ir][2] = p.blue;
rbs = r1 - abs(i);
rsum += stack[ir][0] * rbs;
gsum += stack[ir][1] * rbs;
bsum += stack[ir][2] * rbs;
if (i > 0) {
rinsum += stack[ir][0];
ginsum += stack[ir][1];
binsum += stack[ir][2];
} else {
routsum += stack[ir][0];
goutsum += stack[ir][1];
boutsum += stack[ir][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;
ir = stackstart % div; // same as sir
routsum -= stack[ir][0];
goutsum -= stack[ir][1];
boutsum -= stack[ir][2];
if (y == 0) {
vmin[x] = min(x + radius + 1, wm);
}
p = input[yw + vmin[x]];
stack[ir][0] = p.red;
stack[ir][1] = p.green;
stack[ir][2] = p.blue;
rinsum += stack[ir][0];
ginsum += stack[ir][1];
binsum += stack[ir][2];
rsum += rinsum;
gsum += ginsum;
bsum += binsum;
stackpointer = (stackpointer + 1) % div;
ir = (stackpointer) % div; // same as sir
routsum += stack[ir][0];
goutsum += stack[ir][1];
boutsum += stack[ir][2];
rinsum -= stack[ir][0];
ginsum -= stack[ir][1];
binsum -= stack[ir][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 = max(0, yp) + x;
ir = i + radius; // same as sir
stack[ir][0] = r[yi];
stack[ir][1] = g[yi];
stack[ir][2] = b[yi];
rbs = r1 - abs(i);
rsum += r[yi] * rbs;
gsum += g[yi] * rbs;
bsum += b[yi] * rbs;
if (i > 0) {
rinsum += stack[ir][0];
ginsum += stack[ir][1];
binsum += stack[ir][2];
} else {
routsum += stack[ir][0];
goutsum += stack[ir][1];
boutsum += stack[ir][2];
}
if (i < hm) {
yp += w;
}
}
yi = x;
stackpointer = radius;
for (y = 0; y < h; y++) {
output[yi].red = dv[rsum];
output[yi].green = dv[gsum];
output[yi].blue = dv[bsum];
rsum -= routsum;
gsum -= goutsum;
bsum -= boutsum;
stackstart = stackpointer - radius + div;
ir = stackstart % div; // same as sir
routsum -= stack[ir][0];
goutsum -= stack[ir][1];
boutsum -= stack[ir][2];
if (x == 0) vmin[y] = min(y + r1, hm) * w;
ip = x + vmin[y];
stack[ir][0] = r[ip];
stack[ir][1] = g[ip];
stack[ir][2] = b[ip];
rinsum += stack[ir][0];
ginsum += stack[ir][1];
binsum += stack[ir][2];
rsum += rinsum;
gsum += ginsum;
bsum += binsum;
stackpointer = (stackpointer + 1) % div;
ir = stackpointer; // same as sir
routsum += stack[ir][0];
goutsum += stack[ir][1];
boutsum += stack[ir][2];
rinsum -= stack[ir][0];
ginsum -= stack[ir][1];
binsum -= stack[ir][2];
yi += w;
}
}
// Unlocks everything
AndroidBitmap_unlockPixels(env, bitmapIn);
AndroidBitmap_unlockPixels(env, bitmapOut);
LOGI ("Bitmap blurred.");
}
int min(int a, int b) {
return a > b ? b : a;
}
int max(int a, int b) {
return a > b ? a : b;
}
Then use it like this (considering a class called com.insert.your.package.ClassName and a native function called functionToBlur, as the code above states):
// Create a copy
Bitmap bitmapOut = bitmapIn.copy(Bitmap.Config.ARGB_8888, true);
// Blur the copy
functionToBlur(bitmapIn, bitmapOut, __radius);
It expects a RGB_8888 bitmap!
To use a RGB_565 bitmap, either create a converted copy before passing the parameter (yuck), or change the function to use a new rgb565 type instead of rgba:
typedef struct {
uint16_t byte0;
} rgb565;
The problem is that if you do that you can't read .red, .green and .blue of the pixel anymore, you need to read the byte properly, duh. When I needed that before, I did this:
r = (pixels[x].byte0 & 0xF800) >> 8;
g = (pixels[x].byte0 & 0x07E0) >> 3;
b = (pixels[x].byte0 & 0x001F) << 3;
But there's probably some less dumb way of doing it. I'm not much of a low-level C coder, I'm afraid.
This code is work perfect for me
Bitmap tempbg = BitmapFactory.decodeResource(getResources(),R.drawable.b1); //Load a background.
Bitmap final_Bitmap = BlurImage(tempbg);
@SuppressLint("NewApi")
Bitmap BlurImage (Bitmap input)
{
try
{
RenderScript rsScript = RenderScript.create(getApplicationContext());
Allocation alloc = Allocation.createFromBitmap(rsScript, input);
ScriptIntrinsicBlur blur = ScriptIntrinsicBlur.create(rsScript, Element.U8_4(rsScript));
blur.setRadius(21);
blur.setInput(alloc);
Bitmap result = Bitmap.createBitmap(input.getWidth(), input.getHeight(), Bitmap.Config.ARGB_8888);
Allocation outAlloc = Allocation.createFromBitmap(rsScript, result);
blur.forEach(outAlloc);
outAlloc.copyTo(result);
rsScript.destroy();
return result;
}
catch (Exception e) {
// TODO: handle exception
return input;
}
}
You can now use ScriptIntrinsicBlur from the RenderScript library to blur quickly. Here is how to access the RenderScript API. The following is a class I made to blur Views and Bitmaps:
public class BlurBuilder {
private static final float BITMAP_SCALE = 0.4f;
private static final float BLUR_RADIUS = 7.5f;
public static Bitmap blur(View v) {
return blur(v.getContext(), getScreenshot(v));
}
public static Bitmap blur(Context ctx, Bitmap image) {
int width = Math.round(image.getWidth() * BITMAP_SCALE);
int height = Math.round(image.getHeight() * BITMAP_SCALE);
Bitmap inputBitmap = Bitmap.createScaledBitmap(image, width, height, false);
Bitmap outputBitmap = Bitmap.createBitmap(inputBitmap);
RenderScript rs = RenderScript.create(ctx);
ScriptIntrinsicBlur theIntrinsic = ScriptIntrinsicBlur.create(rs, Element.U8_4(rs));
Allocation tmpIn = Allocation.createFromBitmap(rs, inputBitmap);
Allocation tmpOut = Allocation.createFromBitmap(rs, outputBitmap);
theIntrinsic.setRadius(BLUR_RADIUS);
theIntrinsic.setInput(tmpIn);
theIntrinsic.forEach(tmpOut);
tmpOut.copyTo(outputBitmap);
return outputBitmap;
}
private static Bitmap getScreenshot(View v) {
Bitmap b = Bitmap.createBitmap(v.getWidth(), v.getHeight(), Bitmap.Config.ARGB_8888);
Canvas c = new Canvas(b);
v.draw(c);
return b;
}
}
This worked fine for me: How to Blur Images Efficiently with Android's RenderScript
public class BlurBuilder {
private static final float BITMAP_SCALE = 0.4f;
private static final float BLUR_RADIUS = 7.5f;
@SuppressLint("NewApi")
public static Bitmap blur(Context context, Bitmap image) {
int width = Math.round(image.getWidth() * BITMAP_SCALE);
int height = Math.round(image.getHeight() * BITMAP_SCALE);
Bitmap inputBitmap = Bitmap.createScaledBitmap(image, width, height,
false);
Bitmap outputBitmap = Bitmap.createBitmap(inputBitmap);
RenderScript rs = RenderScript.create(context);
ScriptIntrinsicBlur theIntrinsic = ScriptIntrinsicBlur.create(rs,
Element.U8_4(rs));
Allocation tmpIn = Allocation.createFromBitmap(rs, inputBitmap);
Allocation tmpOut = Allocation.createFromBitmap(rs, outputBitmap);
theIntrinsic.setRadius(BLUR_RADIUS);
theIntrinsic.setInput(tmpIn);
theIntrinsic.forEach(tmpOut);
tmpOut.copyTo(outputBitmap);
return outputBitmap;
}
}
I used this before..
public static Bitmap myblur(Bitmap image, Context context) {
final float BITMAP_SCALE = 0.4f;
final float BLUR_RADIUS = 7.5f;
int width = Math.round(image.getWidth() * BITMAP_SCALE);
int height = Math.round(image.getHeight() * BITMAP_SCALE);
Bitmap inputBitmap = Bitmap.createScaledBitmap(image, width, height, false);
Bitmap outputBitmap = Bitmap.createBitmap(inputBitmap);
RenderScript rs = RenderScript.create(context);
ScriptIntrinsicBlur theIntrinsic = ScriptIntrinsicBlur.create(rs, Element.U8_4(rs));
Allocation tmpIn = Allocation.createFromBitmap(rs, inputBitmap);
Allocation tmpOut = Allocation.createFromBitmap(rs, outputBitmap);
theIntrinsic.setRadius(BLUR_RADIUS);
theIntrinsic.setInput(tmpIn);
theIntrinsic.forEach(tmpOut);
tmpOut.copyTo(outputBitmap);
return outputBitmap;
}
Thanks @Yahel for the code. Posting the same method with alpha channel blurring support as it took me some time to make it work correctly so it may save someone's time:
/**
* Stack Blur v1.0 from
* http://www.quasimondo.com/StackBlurForCanvas/StackBlurDemo.html
* Java Author: Mario Klingemann <mario at quasimondo.com>
* http://incubator.quasimondo.com
* <p/>
* created Feburary 29, 2004
* Android port : Yahel Bouaziz <yahel at kayenko.com>
* http://www.kayenko.com
* ported april 5th, 2012
* <p/>
* 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.
* <p/>
* 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.
* <p/>
* If you are using this algorithm in your code please add
* the following line:
* Stack Blur Algorithm by Mario Klingemann <mario@quasimondo.com>
*/
public static Bitmap fastblur(Bitmap sentBitmap, float scale, int radius) {
int width = Math.round(sentBitmap.getWidth() * scale);
int height = Math.round(sentBitmap.getHeight() * scale);
sentBitmap = Bitmap.createScaledBitmap(sentBitmap, width, height, false);
Bitmap 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];
Log.e("pix", w + " " + h + " " + pix.length);
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 a[] = new int[wh];
int rsum, gsum, bsum, asum, 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][4];
int stackpointer;
int stackstart;
int[] sir;
int rbs;
int r1 = radius + 1;
int routsum, goutsum, boutsum, aoutsum;
int rinsum, ginsum, binsum, ainsum;
for (y = 0; y < h; y++) {
rinsum = ginsum = binsum = ainsum = routsum = goutsum = boutsum = aoutsum = rsum = gsum = bsum = asum = 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);
sir[3] = 0xff & (p >> 24);
rbs = r1 - Math.abs(i);
rsum += sir[0] * rbs;
gsum += sir[1] * rbs;
bsum += sir[2] * rbs;
asum += sir[3] * rbs;
if (i > 0) {
rinsum += sir[0];
ginsum += sir[1];
binsum += sir[2];
ainsum += sir[3];
} else {
routsum += sir[0];
goutsum += sir[1];
boutsum += sir[2];
aoutsum += sir[3];
}
}
stackpointer = radius;
for (x = 0; x < w; x++) {
r[yi] = dv[rsum];
g[yi] = dv[gsum];
b[yi] = dv[bsum];
a[yi] = dv[asum];
rsum -= routsum;
gsum -= goutsum;
bsum -= boutsum;
asum -= aoutsum;
stackstart = stackpointer - radius + div;
sir = stack[stackstart % div];
routsum -= sir[0];
goutsum -= sir[1];
boutsum -= sir[2];
aoutsum -= sir[3];
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);
sir[3] = 0xff & (p >> 24);
rinsum += sir[0];
ginsum += sir[1];
binsum += sir[2];
ainsum += sir[3];
rsum += rinsum;
gsum += ginsum;
bsum += binsum;
asum += ainsum;
stackpointer = (stackpointer + 1) % div;
sir = stack[(stackpointer) % div];
routsum += sir[0];
goutsum += sir[1];
boutsum += sir[2];
aoutsum += sir[3];
rinsum -= sir[0];
ginsum -= sir[1];
binsum -= sir[2];
ainsum -= sir[3];
yi++;
}
yw += w;
}
for (x = 0; x < w; x++) {
rinsum = ginsum = binsum = ainsum = routsum = goutsum = boutsum = aoutsum = rsum = gsum = bsum = asum = 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];
sir[3] = a[yi];
rbs = r1 - Math.abs(i);
rsum += r[yi] * rbs;
gsum += g[yi] * rbs;
bsum += b[yi] * rbs;
asum += a[yi] * rbs;
if (i > 0) {
rinsum += sir[0];
ginsum += sir[1];
binsum += sir[2];
ainsum += sir[3];
} else {
routsum += sir[0];
goutsum += sir[1];
boutsum += sir[2];
aoutsum += sir[3];
}
if (i < hm) {
yp += w;
}
}
yi = x;
stackpointer = radius;
for (y = 0; y < h; y++) {
pix[yi] = (dv[asum] << 24) | (dv[rsum] << 16) | (dv[gsum] << 8) | dv[bsum];
rsum -= routsum;
gsum -= goutsum;
bsum -= boutsum;
asum -= aoutsum;
stackstart = stackpointer - radius + div;
sir = stack[stackstart % div];
routsum -= sir[0];
goutsum -= sir[1];
boutsum -= sir[2];
aoutsum -= sir[3];
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];
sir[3] = a[p];
rinsum += sir[0];
ginsum += sir[1];
binsum += sir[2];
ainsum += sir[3];
rsum += rinsum;
gsum += ginsum;
bsum += binsum;
asum += ainsum;
stackpointer = (stackpointer + 1) % div;
sir = stack[stackpointer];
routsum += sir[0];
goutsum += sir[1];
boutsum += sir[2];
aoutsum += sir[3];
rinsum -= sir[0];
ginsum -= sir[1];
binsum -= sir[2];
ainsum -= sir[3];
yi += w;
}
}
Log.e("pix", w + " " + h + " " + pix.length);
bitmap.setPixels(pix, 0, w, 0, 0, w, h);
return (bitmap);
}
Use Render Script as mentioned here http://blog.neteril.org/blog/2013/08/12/blurring-images-on-android/
This is for all people who need to increase the radius of ScriptIntrinsicBlur to obtain a harder gaussian blur.
Instead of to put the radius more than 25, you can scale down the image and get the same result. I wrote a class called GaussianBlur. Below you can see how to use, and the whole class implementation.
Usage:
GaussianBlur gaussian = new GaussianBlur(context);
gaussian.setMaxImageSize(60);
gaussian.setRadius(25); //max
Bitmap output = gaussian.render(<your bitmap>,true);
Drawable d = new BitmapDrawable(getResources(),output);
Class:
public class GaussianBlur {
private final int DEFAULT_RADIUS = 25;
private final float DEFAULT_MAX_IMAGE_SIZE = 400;
private Context context;
private int radius;
private float maxImageSize;
public GaussianBlur(Context context) {
this.context = context;
setRadius(DEFAULT_RADIUS);
setMaxImageSize(DEFAULT_MAX_IMAGE_SIZE);
}
public Bitmap render(Bitmap bitmap, boolean scaleDown) {
RenderScript rs = RenderScript.create(context);
if (scaleDown) {
bitmap = scaleDown(bitmap);
}
Bitmap output = Bitmap.createBitmap(bitmap.getWidth(), bitmap.getHeight(), Config.ARGB_8888);
Allocation inAlloc = Allocation.createFromBitmap(rs, bitmap, Allocation.MipmapControl.MIPMAP_NONE, Allocation.USAGE_GRAPHICS_TEXTURE);
Allocation outAlloc = Allocation.createFromBitmap(rs, output);
ScriptIntrinsicBlur script = ScriptIntrinsicBlur.create(rs, inAlloc.getElement()); // Element.U8_4(rs));
script.setRadius(getRadius());
script.setInput(inAlloc);
script.forEach(outAlloc);
outAlloc.copyTo(output);
rs.destroy();
return output;
}
public Bitmap scaleDown(Bitmap input) {
float ratio = Math.min((float) getMaxImageSize() / input.getWidth(), (float) getMaxImageSize() / input.getHeight());
int width = Math.round((float) ratio * input.getWidth());
int height = Math.round((float) ratio * input.getHeight());
return Bitmap.createScaledBitmap(input, width, height, true);
}
public int getRadius() {
return radius;
}
public void setRadius(int radius) {
this.radius = radius;
}
public float getMaxImageSize() {
return maxImageSize;
}
public void setMaxImageSize(float maxImageSize) {
this.maxImageSize = maxImageSize;
}
}
For future Googlers who choose NDK approach - i find reliable mentioned stackblur algorithm. I found C++ implementation which does not rely on SSE here - http://www.antigrain.com/__code/include/agg_blur.h.html#stack_blur_rgba32 which contains some optimizations using static tables like:
static unsigned short const stackblur_mul[255] =
{
512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,
454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,
482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,
437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,
497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,
320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,
446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,
329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,
505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,
399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,
324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,
268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,
451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,
385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,
332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,
289,287,285,282,280,278,275,273,271,269,267,265,263,261,259
};
static unsigned char const stackblur_shr[255] =
{
9, 11, 12, 13, 13, 14, 14, 15, 15, 15, 15, 16, 16, 16, 16, 17,
17, 17, 17, 17, 17, 17, 18, 18, 18, 18, 18, 18, 18, 18, 18, 19,
19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 20, 20, 20,
20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 21,
21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21,
21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 22, 22, 22, 22, 22, 22,
22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22,
22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 23,
23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23,
23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23,
23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23,
23, 23, 23, 23, 23, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24
};
I made modification of stackblur algorithm for multi-core systems - it can be found here http://vitiy.info/stackblur-algorithm-multi-threaded-blur-for-cpp/ As more and more devices have 4 cores - optimizations give 4x speed benefit.
Nicolas POMEPUY advice. I think this link will be helpful: Blur effect for Android design
Sample project at github
@TargetApi(Build.VERSION_CODES.JELLY_BEAN_MR1)
private static Bitmap fastblur16(Bitmap source, int radius, Context ctx) {
Bitmap bitmap = source.copy(source.getConfig(), true);
RenderScript rs = RenderScript.create(ctx);
Allocation input = Allocation.createFromBitmap(rs, source, Allocation.MipmapControl.MIPMAP_NONE, Allocation.USAGE_SCRIPT);
Allocation output = Allocation.createTyped(rs, input.getType());
ScriptIntrinsicBlur script = ScriptIntrinsicBlur.create(rs, Element.U8_4(rs));
script.setRadius(radius);
script.setInput(input);
script.forEach(output);
output.copyTo(bitmap);
return bitmap;
}
We tried to implement RenderScript blur like mentioned above in different answers. We were limited to use the v8 RenderScript version and that caused us a lot of trouble.
- Samsung S3 crashed randomly whenever we tried to use the renderscript
- Other devices (across different APIs) randomly showed different color issues
I want to share our dirty Java-only version which is slow and should be done on a separate thread and, if possible, before usage and therefore persisted.
private final Paint mPaint = new Paint();
public Bitmap blur(final String pathToBitmap) {
final BitmapFactory.Options options = new BitmapFactory.Options();
final Bitmap normalOne = BitmapFactory.decodeFile(pathToBitmap, options);
final Bitmap resultBitmap = Bitmap.createBitmap(options.outWidth, options.outHeight, Bitmap.Config.ARGB_8888);
Canvas canvas = new Canvas(resultBitmap);
mPaint.setAlpha(180);
canvas.drawBitmap(normalOne, 0, 0, mPaint);
int blurRadius = 12;
for (int row = -blurRadius; row < blurRadius; row += 2) {
for (int col = -blurRadius; col < blurRadius; col += 2) {
if (col * col + row * row <= blurRadius * blurRadius) {
mPaint.setAlpha((blurRadius * blurRadius) / ((col * col + row * row) + 1) * 2);
canvas.drawBitmap(normalOne, row, col, mPaint);
}
}
}
normalOne.recycle();
return resultBitmap;
}
This solution is far from perfect but creates a reasonable blur effect based on the fact, that it draws highly transparent version of the same image on top of a barely transparent "sharp" version. The alpha depends on the distance to the origin.
You can adjust some "magic numbers" to your needs. I just wanted to share that "solution" for everybody who has issues with the v8 support version of RenderScript.
On the i/o 2019 the following solution was presented:
/**
* Blurs the given Bitmap image
* @param bitmap Image to blur
* @param applicationContext Application context
* @return Blurred bitmap image
*/
@WorkerThread
fun blurBitmap(bitmap: Bitmap, applicationContext: Context): Bitmap {
lateinit var rsContext: RenderScript
try {
// Create the output bitmap
val output = Bitmap.createBitmap(
bitmap.width, bitmap.height, bitmap.config)
// Blur the image
rsContext = RenderScript.create(applicationContext, RenderScript.ContextType.DEBUG)
val inAlloc = Allocation.createFromBitmap(rsContext, bitmap)
val outAlloc = Allocation.createTyped(rsContext, inAlloc.type)
val theIntrinsic = ScriptIntrinsicBlur.create(rsContext, Element.U8_4(rsContext))
theIntrinsic.apply {
setRadius(10f)
theIntrinsic.setInput(inAlloc)
theIntrinsic.forEach(outAlloc)
}
outAlloc.copyTo(output)
return output
} finally {
rsContext.finish()
}
}
For those still having issues with Renderscript support library on x86 chipsets, please have a look at this post by the creator of the library. It looks like the fix he prepared didn't make it somehow to the Build Tools v20.0.0, so he provides the files to fix it manually and a brief explanation of how to do it.
https://code.google.com/p/android/issues/detail?can=2&start=0&num=100&q=&colspec=ID%20Type%20Status%20Owner%20Summary%20Stars&groupby=&sort=&id=71347
from Mario Viviani blog one can use this solution from 17 Android Version:
https://plus.google.com/+MarioViviani/posts/fhuzYkji9zz
or
https://gist.github.com/Mariuxtheone/903c35b4927c0df18cf8
Here is a realtime blurring overlay using RenderScript, which seems to be fast enough.
https://github.com/mmin18/RealtimeBlurView
I found that decreasing contrast, brightness and saturation a little makes blurred images more pretty so I combined various methods from stack overflow and made this Blur Class which deals with blurring images, changing brightness, saturation, contrast and size of the blurred images. It can also convert images from drawable to bitmap and vice-versa.
![Interactive visualization of a graph in python [closed]](https://www.devze.com/res/2023/04-10/09/92d32fe8c0d22fb96bd6f6e8b7d1f457.gif)
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