工作中用到的图片处理工具类，简单写下来，以便备用！

public class BitmapUtils {        /**       * 图像背景圆角处理       * bitmap要处理的图片 roundPx 图片弯角的圆度一般是5到10之间       */      public static Bitmap getRoundedCornerBitmap(Bitmap bitmap, float roundPx) {          // 创建与原图大小一样的bitmap文件，Config.ARGB_8888根据情况可以改用其它的          Bitmap output = Bitmap.createBitmap(bitmap.getWidth(), bitmap.getHeight(), Config.ARGB_8888);          // 实例画布，绘制的bitmap将保存至output中          Canvas canvas = new Canvas(output);          final int color = 0xff424242;//写自己需要的颜色值          final Paint paint = new Paint();          final Rect rect = new Rect(0, 0, bitmap.getWidth(), bitmap.getHeight());          final RectF rectF = new RectF(rect);          paint.setAntiAlias(true);          canvas.drawARGB(0, 0, 0, 0);          paint.setColor(color);          canvas.drawRoundRect(rectF, roundPx, roundPx, paint);          paint.setXfermode(new PorterDuffXfermode(android.graphics.PorterDuff.Mode.SRC_IN));          canvas.drawBitmap(bitmap, rect, rect, paint);          bitmap.recycle();          bitmap = null;          return output;      }        /**       * bitmap缩放       * width要缩放的宽度 height要缩放的高度       */      public static Bitmap getBitmapDeflation(Bitmap bitmap, int width, int height, boolean recycle) {            if (null == bitmap) {              return null;              }          float scaleWidth = 0f;          float scaleHeight = 0f;          // 获取bitmap宽高          int bitmapWidth = bitmap.getWidth();          int bitmapHeight = bitmap.getHeight();          // 计算缩放比,图片的宽高小于指定的宽高则不缩放          if (width < bitmapWidth) {              scaleWidth = ((float) width) / bitmapWidth;          } else {              scaleWidth = 1.00f;          }          if (height < bitmapHeight) {              scaleHeight = ((float) height) / bitmapHeight;          } else {              scaleHeight = 1.00f;          }          Matrix matrix = new Matrix();          matrix.postScale(scaleWidth, scaleHeight);            Bitmap newBitmap = Bitmap.createBitmap(bitmap, 0, 0, bitmapWidth, bitmapHeight, matrix, true);          if (recycle && !bitmap.isRecycled()) {              bitmap.recycle();          }          bitmap = null;            return newBitmap;      }        /**       *       * 方法概述：进入图片的大小与质量压缩，用于区分大小图片       */      public static Bitmap getCompressedImage(String srcPath) {          BitmapFactory.Options newOpts = new BitmapFactory.Options();          // 开始读入图片，此时把options.inJustDecodeBounds 设回true了          newOpts.inPreferredConfig = Bitmap.Config.RGB_565;          newOpts.inPurgeable = true;          newOpts.inJustDecodeBounds = true;          FileInputStream is = null;          try {              is = new FileInputStream(srcPath);          } catch (FileNotFoundException e) {              e.printStackTrace();          }          Bitmap bitmap = BitmapFactory.decodeStream(is, null, 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 = 130f;// 这里设置高度为800f          float ww = 130f;// 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);          if (bitmap != null) { return compressImageSize(bitmap, 8);// 压缩好比例大小后再进行质量压缩          }          return null;      }        /**       *       * 方法概述：图片质量压缩       */      protected static Bitmap compressImageSize(Bitmap image, int size) {          if (image == null)              return image;            ByteArrayOutputStream baos = new ByteArrayOutputStream();          image.compress(Bitmap.CompressFormat.JPEG, 100, baos);// 质量压缩方法，这里10表示不压缩，把压缩后的数据存放到baos中          int options = 100;          while (baos.toByteArray().length / 1000 > size && options / 3 > 0) { // 循环判断如果压缩后图片是否大于10kb,大于继续压缩              baos.reset();// 重置baos即清空baos              image.compress(Bitmap.CompressFormat.JPEG, options, baos);// 这里压缩options%，把压缩后的数据存放到baos中              options -= options / 3;// 每次都减少30%          }            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;      }        /**       *       * 方法概述：保存图片       */      public static String saveBitmapWithName(String path, String bitName, Bitmap mBitmap) {          File f = new File(path + bitName + ".png");          String url = path + bitName + ".png";          try {              f.createNewFile();          } catch (IOException e) {              System.out.println("文件创建出错");          }          FileOutputStream fOut = null;          try {              fOut = new FileOutputStream(f);          } catch (FileNotFoundException e) {              System.out.println(" 创建文件流失败");              e.printStackTrace();          }          mBitmap.compress(Bitmap.CompressFormat.PNG, 100, fOut);          try {              fOut.flush();          } catch (IOException e) {              e.printStackTrace();          }          try {              fOut.close();          } catch (IOException e) {              e.printStackTrace();          }          return url;      }        /**       *       * 方法概述：根据传入参数保存图片       */      public static boolean saveImageTo(Bitmap photo, String spath) {          try {              BufferedOutputStream bos = new BufferedOutputStream(new FileOutputStream(spath, false));              photo.compress(Bitmap.CompressFormat.PNG, 100, bos);              bos.flush();              bos.close();          } catch (Exception e) {              e.printStackTrace();              return false;          }          return true;      }    }