标签:throws src put code 质量 new ons 溢出 ges
public static Bitmap revitionImageSize(String path) throws IOException { BufferedInputStream in = new BufferedInputStream(new FileInputStream( new File(path))); BitmapFactory.Options options = new BitmapFactory.Options(); options.inJustDecodeBounds = true; BitmapFactory.decodeStream(in, null, options); in.close(); int i = 0; Bitmap bitmap = null; while (true) { if ((options.outWidth >> i <= 1000) && (options.outHeight >> i <= 1000)) { in = new BufferedInputStream( new FileInputStream(new File(path))); options.inSampleSize = (int) Math.pow(2.0D, i); options.inJustDecodeBounds = false; bitmap = BitmapFactory.decodeStream(in, null, options); break; } i += 1; } return bitmap; }
图片按比例大小压缩方法(依据路径获取图片并压缩)
public static Bitmap getimage(String srcPath)throws IOException{ BitmapFactory.Options newOpts = new BitmapFactory.Options(); //開始读入图片,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; //如今主流手机比較多是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。第三:图片按比例大小压缩方法(依据Bitmap图片压缩):因为是固定比例缩放,仅仅用高或者宽当中一个数据进行计算就可以 int be = 1;//be=1表示不缩放 if (w > h && w > ww) {//假设宽度大的话依据宽度固定大小缩放 be = (int) (newOpts.outWidth / ww); } else if (w < h && h > hh) {//假设高度高的话依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 //又一次读入图片,注意此时已经把options.inJustDecodeBounds 设回false了 bitmap = BitmapFactory.decodeFile(srcPath, newOpts); return bitmap;//压缩好比例大小后再进行质量压缩 }
public static Bitmap comp(Bitmap image) { ByteArrayOutputStream baos = new ByteArrayOutputStream(); image.compress(Bitmap.CompressFormat.JPEG, 100, baos); if( baos.toByteArray().length / 1024>1024) {//推断假设图片大于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, 50, 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(); //開始读入图片,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; //如今主流手机比較多是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。依据路径获得突破并压缩返回bitmap用于显示因为是固定比例缩放,仅仅用高或者宽当中一个数据进行计算就可以 int be = 1;//be=1表示不缩放 if (w > h && w > ww) {//假设宽度大的话依据宽度固定大小缩放 be = (int) (newOpts.outWidth / ww); } else if (w < h && h > hh) {//假设高度高的话依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 //又一次读入图片。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 bitmap;//压缩好比例大小后再进行质量压缩 }
public static Bitmap getSmallBitmap(String filePath) throws IOException{ final BitmapFactory.Options options = new BitmapFactory.Options(); options.inJustDecodeBounds = true; BitmapFactory.decodeFile(filePath, options); options.inSampleSize = calculateInSampleSize(options, 480, 800); options.inJustDecodeBounds = false; return BitmapFactory.decodeFile(filePath, options); } /** * 计算图片的缩放值 * * @param options * @param reqWidth * @param reqHeight * @return */ public static int calculateInSampleSize(BitmapFactory.Options options, int reqWidth, int reqHeight) { final int height = options.outHeight; final int width = options.outWidth; int inSampleSize = 1; if (height > reqHeight || width > reqWidth) { final int heightRatio = Math.round((float) height / (float) reqHeight); final int widthRatio = Math.round((float) width / (float) reqWidth); inSampleSize = heightRatio < widthRatio ? heightRatio : widthRatio; } return inSampleSize; }
标签:throws src put code 质量 new ons 溢出 ges
原文地址:http://www.cnblogs.com/tlnshuju/p/7241502.html