android开发关于图片处理的工具类方法，再也不用为OOM发愁了

public class BitmapUtils {

    //   compile 'com.yolanda.nohttp:nohttp:1.0.4'

    /**
     * 从本地读取图片
     *
     * @param path
     * @return
     */
    public static Bitmap getBitmapForPath(String path) {
        try {
            FileInputStream in = new FileInputStream(path);
            Bitmap bitmap = BitmapFactory.decodeStream(in);
            in.close();
            return bitmap;
        } catch (Exception e) {
        }
        return null;
    }


    /**
     * 获取资源文件中的图片
     *
     * @param context
     * @param resourcesId
     * @return
     */
    public static Drawable getDrawableFormResources(Context context, int resourcesId) {
        Resources resources = context.getResources();
        return new BitmapDrawable(resources, BitmapFactory.decodeResource(resources, resourcesId));
    }

    /**
     * 从资源文件中获取bitmap对象
     *
     * @param context
     * @param resourcesId
     * @return
     */
    public static Bitmap getBitmapFromResources(Context context, int resourcesId) {
        return BitmapFactory.decodeResource(context.getResources(), resourcesId);
    }

    /**
     * bitmap转byte数组
     *
     * @param bitmap
     * @return
     */
    public static byte[] getBitmapbyte(Bitmap bitmap) {
        ByteArrayOutputStream baos = new ByteArrayOutputStream();
        bitmap.compress(Bitmap.CompressFormat.PNG, 100, baos);
        byte[] datas = baos.toByteArray();

        try {
            baos.flush();
            baos.close();
        } catch (IOException e) {
            e.printStackTrace();
        }
        return datas;
    }
    /**
     * bitmap转byte数组
     *
     * @param bitmap
     * @return
     */
    public static String getBitmapBase64byte(Bitmap bitmap) {
        ByteArrayOutputStream baos = new ByteArrayOutputStream();
        bitmap.compress(Bitmap.CompressFormat.PNG, 100, baos);
        byte[] datas = baos.toByteArray();
        String encodeToString = Base64.encodeToString(datas, Base64.DEFAULT);
        try {
            baos.flush();
            baos.close();
        } catch (IOException e) {
            e.printStackTrace();
        }
        return encodeToString;
    }
    /**
     * byte转bitmap数组
     *
     * @param b
     * @return
     */
    public static Bitmap getBitmaoFrombyte(byte[] b) {
        return BitmapFactory.decodeByteArray(b, 0, b.length);
    }
    /**
     * 压缩0
     *
     * @param srcPath
     * @return
     */
    public static Bitmap getimageIcon(String srcPath) {
        BitmapFactory.Options newOpts = new BitmapFactory.Options();
        //开始读入图片，此时把options.inJustDecodeBounds 设回true了
        newOpts.inJustDecodeBounds = true;
        Bitmap bitmap = BitmapFactory.decodeFile(srcPath, newOpts);//此时返回bm为空
        newOpts.inJustDecodeBounds = false;
        int w = newOpts.outWidth;
        int h = newOpts.outHeight;
        //现在主流手机比较多是800*480分辨率，所以高和宽我们设置为
        float hh = 312f;//这里设置高度为800f
        float ww = 650f;//这里设置宽度为480f
        //缩放比。由于是固定比例缩放，只用高或者宽其中一个数据进行计算即可
        int be = 1;//be=1表示不缩放
        if (w > h && w > ww) {//如果宽度大的话根据宽度固定大小缩放
            be = (int) (newOpts.outWidth / ww);
        } else if (w < h && h > hh) {//如果高度高的话根据宽度固定大小缩放
            be = (int) (newOpts.outHeight / hh);
        }

        if (be <= 0)
            be = 1;
        newOpts.inSampleSize = be;//设置缩放比例
        //重新读入图片，注意此时已经把options.inJustDecodeBounds 设回false了
        bitmap = BitmapFactory.decodeFile(srcPath, newOpts);
        return compressImage(bitmap);//压缩好比例大小后再进行质量压缩
    }

    /**
     * 压缩1
     *
     * @param srcPath
     * @return
     */
    public static Bitmap getimage(String srcPath) {
        BitmapFactory.Options newOpts = new BitmapFactory.Options();
        //开始读入图片，此时把options.inJustDecodeBounds 设回true了
        newOpts.inJustDecodeBounds = true;
        Bitmap bitmap = BitmapFactory.decodeFile(srcPath, newOpts);//此时返回bm为空

        newOpts.inJustDecodeBounds = false;
        int w = newOpts.outWidth;
        int h = newOpts.outHeight;
        //现在主流手机比较多是800*480分辨率，所以高和宽我们设置为
        float hh = 800f;//这里设置高度为800f
        float ww = 480f;//这里设置宽度为480f
        //缩放比。由于是固定比例缩放，只用高或者宽其中一个数据进行计算即可
        int be = 1;//be=1表示不缩放
        if (w > h && w > ww) {//如果宽度大的话根据宽度固定大小缩放
            be = (int) (newOpts.outWidth / ww);
        } else if (w < h && h > hh) {//如果高度高的话根据宽度固定大小缩放
            be = (int) (newOpts.outHeight / hh);
        }
        if (be <= 0)
            be = 1;
        newOpts.inSampleSize = be;//设置缩放比例
        //重新读入图片，注意此时已经把options.inJustDecodeBounds 设回false了
        bitmap = BitmapFactory.decodeFile(srcPath, newOpts);
        return compressImage(bitmap);//压缩好比例大小后再进行质量压缩
    }
    //把bitmap转换成String
//    public static String bitmapToString(String filePath) {
//
//        Bitmap bm = getSmallBitmap(filePath);
//        ByteArrayOutputStream baos = new ByteArrayOutputStream();
//        bm.compress(Bitmap.CompressFormat.JPEG, 40, baos);
//        byte[] b = baos.toByteArray();
//        return Base64.encodeToString(b, Base64.DEFAULT);
//    }
    /**
     * 压缩2
     *
     * @param image
     * @return
     */
    public static Bitmap comp(Bitmap image) {

        ByteArrayOutputStream baos = new ByteArrayOutputStream();
        image.compress(Bitmap.CompressFormat.JPEG, 100, baos);
        if (baos.toByteArray().length / 1024 > 1024) {//判断如果图片大于1M,进行压缩避免在生成图片（BitmapFactory.decodeStream）时溢出
            baos.reset();//重置baos即清空baos
            image.compress(Bitmap.CompressFormat.JPEG, 30, baos);//这里压缩50%，把压缩后的数据存放到baos中
        }
        ByteArrayInputStream isBm = new ByteArrayInputStream(baos.toByteArray());
        BitmapFactory.Options newOpts = new BitmapFactory.Options();
        //开始读入图片，此时把options.inJustDecodeBounds 设回true了
        newOpts.inJustDecodeBounds = true;
        Bitmap bitmap = BitmapFactory.decodeStream(isBm, null, newOpts);
        newOpts.inJustDecodeBounds = false;
        int w = newOpts.outWidth;
        int h = newOpts.outHeight;
        //现在主流手机比较多是800*480分辨率，所以高和宽我们设置为
        float hh = 800f;//这里设置高度为800f
        float ww = 480f;//这里设置宽度为480f
        //缩放比。由于是固定比例缩放，只用高或者宽其中一个数据进行计算即可
        int be = 1;//be=1表示不缩放
        if (w > h && w > ww) {//如果宽度大的话根据宽度固定大小缩放
            be = (int) (newOpts.outWidth / ww);
        } else if (w < h && h > hh) {//如果高度高的话根据宽度固定大小缩放
            be = (int) (newOpts.outHeight / hh);
        }
        if (be <= 0)
            be = 1;
        newOpts.inSampleSize = be;//设置缩放比例
        newOpts.inPreferredConfig = Bitmap.Config.RGB_565;//降低图片从ARGB888到RGB565
        //重新读入图片，注意此时已经把options.inJustDecodeBounds 设回false了
        isBm = new ByteArrayInputStream(baos.toByteArray());
        bitmap = BitmapFactory.decodeStream(isBm, null, newOpts);
        return compressImage(bitmap);//压缩好比例大小后再进行质量压缩
    }

    /**
     * 质量压缩
     *
     * @param image
     * @return
     */
    public static Bitmap compressImage(Bitmap image) {
        ByteArrayOutputStream baos = new ByteArrayOutputStream();
        image.compress(Bitmap.CompressFormat.JPEG, 100, baos);//质量压缩方法，这里100表示不压缩，把压缩后的数据存放到baos中
        int options = 100;
        while (baos.toByteArray().length / 1024 > 100) {    //循环判断如果压缩后图片是否大于100kb,大于继续压缩
            baos.reset();//重置baos即清空baos
            options -= 20;//每次都减少10
            image.compress(Bitmap.CompressFormat.JPEG, options, baos);//这里压缩options%，把压缩后的数据存放到baos中

        }
        ByteArrayInputStream isBm = new ByteArrayInputStream(baos.toByteArray());//把压缩后的数据baos存放到ByteArrayInputStream中
        Bitmap bitmap = BitmapFactory.decodeStream(isBm, null, null);//把ByteArrayInputStream数据生成图片
        return bitmap;
    }

    /**
     * 获取图片大小
     *
     * @param bitmap
     * @return
     */
    public static long getBitmapsize(Bitmap bitmap) {
        if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.HONEYCOMB_MR1) {
            return bitmap.getByteCount();
        }
        return bitmap.getRowBytes() * bitmap.getHeight();
    }


    /**
     * 对图片进行模糊处理
     *
     * @param bitmap
     * @param context
     * @return
     */
    @TargetApi(Build.VERSION_CODES.JELLY_BEAN_MR1)
    public static Bitmap blurBitmap(Bitmap bitmap, Context context) {
        Bitmap outBitmap = Bitmap.createBitmap(bitmap.getWidth(), bitmap.getHeight(), Bitmap.Config.ARGB_8888);
        RenderScript rs = RenderScript.create(context.getApplicationContext());
        ScriptIntrinsicBlur blurScript = ScriptIntrinsicBlur.create(rs, Element.U8_4(rs));
        Allocation allIn = Allocation.createFromBitmap(rs, bitmap);
        Allocation allOut = Allocation.createFromBitmap(rs, outBitmap);
        blurScript.setRadius(25f);
        blurScript.setInput(allIn);
        blurScript.forEach(allOut);
        allOut.copyTo(outBitmap);
        bitmap.recycle();
        rs.destroy();
        return outBitmap;
    }


    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;
    }

    /**
     * 水平方向模糊度
     */
    private static float hRadius = 10;
    /**
     * 竖直方向模糊度
     */
    private static float vRadius = 10;
    /**
     * 模糊迭代度
     */
    private static int iterations = 7;
    private static float a = 1.3f;

    /**
     * 模糊图片
     * @param bmp
     * @return
     */
    public static Drawable BoxBlurFilter(Bitmap bmp) {
        hRadius = hRadius * a;
        vRadius = vRadius * a;
        iterations = (int) (iterations * a);


        int width = bmp.getWidth();
        int height = bmp.getHeight();
        int[] inPixels = new int[width * height];
        int[] outPixels = new int[width * height];
        Bitmap bitmap = Bitmap.createBitmap(width, height, Bitmap.Config.ARGB_8888);
        bmp.getPixels(inPixels, 0, width, 0, 0, width, height);
        for (int i = 0; i < iterations; i++) {
            blur(inPixels,
                    outPixels, width, height, hRadius);
            blur(outPixels,
                    inPixels, height, width, vRadius);
        }
        blurFractional(inPixels,
                outPixels, width, height, hRadius);
        blurFractional(outPixels,
                inPixels, height, width, vRadius);
        bitmap.setPixels(inPixels,
                0,
                width, 0,
                0,
                width, height);
        Drawable drawable = new BitmapDrawable(bitmap);
        return drawable;
    }

    public static void blur(int[] in, int[] out, int width, int height, float radius) {
        int widthMinus1 = width - 1;
        int r = (int) radius;
        int tableSize = 2 * r + 1;
        int divide[] = new int[256 * tableSize];
        for (int i = 0; i < 256 * tableSize; i++)
            divide[i] = i / tableSize;
        int inIndex = 0;
        for (int y = 0; y < height; y++) {
            int outIndex = y;
            int ta = 0, tr = 0, tg = 0, tb = 0;
            for (int i = -r; i <= r; i++) {
                int rgb = in[inIndex + clamp(i, 0, width - 1)];
                ta += (rgb >> 24) & 0xff;
                tr += (rgb >> 16) & 0xff;
                tg += (rgb >> 8) & 0xff;
                tb += rgb & 0xff;
            }
            for (int x = 0; x < width; x++) {
                out[outIndex] = (divide[ta] << 24) | (divide[tr] << 16) | (divide[tg] << 8)
                        | divide[tb];
                int i1 = x + r + 1;
                if (i1 > widthMinus1)
                    i1 = widthMinus1;
                int i2 = x - r;
                if (i2 < 0)
                    i2 = 0;
                int rgb1 = in[inIndex + i1];
                int rgb2 = in[inIndex + i2];
                ta += ((rgb1 >> 24) & 0xff) - ((rgb2 >> 24) & 0xff);
                tr += ((rgb1 & 0xff0000) - (rgb2 & 0xff0000)) >> 16;
                tg += ((rgb1 & 0xff00) - (rgb2 & 0xff00)) >> 8;
                tb += (rgb1 & 0xff) - (rgb2 & 0xff);
                outIndex += height;
            }
            inIndex += width;
        }
    }

    public static void blurFractional(int[] in, int[] out, int width, int height, float radius) {
        radius -= (int) radius;
        float f = 1.0f / (1 + 2 * radius);
        int inIndex = 0;
        for (int y = 0; y < height; y++) {
            int outIndex = y;
            out[outIndex] = in[0];
            outIndex += height;
            for (int x = 1; x < width - 1; x++) {
                int i = inIndex + x;
                int rgb1 = in[i - 1];
                int rgb2 = in[i];
                int rgb3 = in[i + 1];
                int a1 = (rgb1 >> 24)
                        & 0xff;
                int r1
                        = (rgb1 >> 16)
                        & 0xff;
                int g1
                        = (rgb1 >> 8)
                        & 0xff;
                int b1
                        = rgb1 & 0xff;
                int a2
                        = (rgb2 >> 24)
                        & 0xff;
                int r2
                        = (rgb2 >> 16)
                        & 0xff;
                int g2
                        = (rgb2 >> 8)
                        & 0xff;
                int b2
                        = rgb2 & 0xff;
                int a3
                        = (rgb3 >> 24)
                        & 0xff;
                int r3
                        = (rgb3 >> 16)
                        & 0xff;
                int g3
                        = (rgb3 >> 8)
                        & 0xff;
                int b3
                        = rgb3 & 0xff;
                a1
                        = a2 + (int)
                        ((a1 + a3) * radius);
                r1
                        = r2 + (int)
                        ((r1 + r3) * radius);
                g1
                        = g2 + (int)
                        ((g1 + g3) * radius);
                b1
                        = b2 + (int)
                        ((b1 + b3) * radius);
                a1
                        *= f;
                r1
                        *= f;
                g1
                        *= f;
                b1
                        *= f;
                out[outIndex]
                        = (a1 << 24)
                        | (r1 << 16)
                        | (g1 << 8)
                        | b1;
                outIndex
                        += height;
            }
            out[outIndex]
                    = in[width - 1];
            inIndex
                    += width;
        }
    }

    public static int clamp(int x,
                            int a,
                            int b) {
        return (x
                < a) ? a : (x > b) ? b : x;
    }
    public static String getImageUrl(Context context, Uri photoUri){
            String res = null;
            String[] proj = { MediaStore.Images.Media.DATA };
            Cursor cursor = context.getContentResolver().query(photoUri, proj, null, null, null);
            if(cursor.moveToFirst()){;
                int column_index = cursor.getColumnIndexOrThrow(MediaStore.Images.Media.DATA);
                res = cursor.getString(column_index);
            }
            cursor.close();
        return res;
    }

    //bitmap到文件
    public static File getBitmapFile(Bitmap bitmap,String path, String fileName) {
        ByteArrayOutputStream output = new ByteArrayOutputStream();
        bitmap.compress(Bitmap.CompressFormat.PNG, 100, output);
        byte[] result = output.toByteArray();//转换成功了
        try {
            output.close();

        } catch (Exception e) {
            e.printStackTrace();
        }
        File file = BytesToFileUtils.getFile(result, path, fileName);

        return file;
    }


}