我在一个文件中有一个大的位图(比如3888x2592)。现在,我想将位图大小调整为800x533,并将其保存到另一个文件中。 我通常通过调用bitmap来缩放位图。createBitmap方法,但它需要一个源位图作为第一个参数,我不能提供,因为加载原始图像到位图对象当然会超过内存(例如,见这里)。

我也不能读取位图,例如,BitmapFactory.decodeFile(文件,选项),提供BitmapFactory.Options。inSampleSize,因为我想把它调整到精确的宽度和高度。使用inSampleSize将位图大小调整为972x648(如果我使用inSampleSize=4)或778x518(如果我使用inSampleSize=5,这甚至不是2的幂)。

我还希望避免在第一步中使用inSampleSize读取图像,例如,在第一步中使用972x648,然后在第二步中将其大小调整为800x533,因为与直接调整原始图像的大小相比,质量会较差。

总结一下我的问题: 是否有一种方法来读取一个10MP或更多的大图像文件,并将其保存到一个新的图像文件,调整到一个特定的新宽度和高度,而不得到OutOfMemory异常?

我还尝试了BitmapFactory.decodeFile(文件,选项)和设置选项。out theight and Options。outidth值手动为800和533,但它不是这样工作的。


当前回答

我使用Integer。numberOfLeadingZeros计算最佳样本量,性能更好。

kotlin完整代码:

@Throws(IOException::class)
fun File.decodeBitmap(options: BitmapFactory.Options): Bitmap? {
    return inputStream().use {
        BitmapFactory.decodeStream(it, null, options)
    }
}

@Throws(IOException::class)
fun File.decodeBitmapAtLeast(
        @androidx.annotation.IntRange(from = 1) width: Int,
        @androidx.annotation.IntRange(from = 1) height: Int
): Bitmap? {
    val options = BitmapFactory.Options()

    options.inJustDecodeBounds = true
    decodeBitmap(options)

    val ow = options.outWidth
    val oh = options.outHeight

    if (ow == -1 || oh == -1) return null

    val w = ow / width
    val h = oh / height

    if (w > 1 && h > 1) {
        val p = 31 - maxOf(Integer.numberOfLeadingZeros(w), Integer.numberOfLeadingZeros(h))
        options.inSampleSize = 1 shl maxOf(0, p)
    }
    options.inJustDecodeBounds = false
    return decodeBitmap(options)
}

其他回答

如果你想一步调整大小你可以加载整个位图如果 android:largeHeap = true,但正如你所看到的,这是不可取的。

From docs: android:largeHeap Whether your application's processes should be created with a large Dalvik heap. This applies to all processes created for the application. It only applies to the first application loaded into a process; if you're using a shared user ID to allow multiple applications to use a process, they all must use this option consistently or they will have unpredictable results. Most apps should not need this and should instead focus on reducing their overall memory usage for improved performance. Enabling this also does not guarantee a fixed increase in available memory, because some devices are constrained by their total available memory.

 Bitmap yourBitmap;
 Bitmap resized = Bitmap.createScaledBitmap(yourBitmap, newWidth, newHeight, true);

or:

 resized = Bitmap.createScaledBitmap(yourBitmap,(int)(yourBitmap.getWidth()*0.8), (int)(yourBitmap.getHeight()*0.8), true);

这是“Mojo Risin”和“Ofir”解决方案的“结合”。这将给你一个按比例调整图像的最大宽度和最大高度的边界。

它只读取元数据以获得原始大小(选项。 它使用粗略的调整大小来节省内存(itmap.createScaledBitmap) 它使用了基于之前创建的粗糙Bitamp精确调整大小的图像。

对我来说,它在500万像素以下的图像上表现良好。

try
{
    int inWidth = 0;
    int inHeight = 0;

    InputStream in = new FileInputStream(pathOfInputImage);

    // decode image size (decode metadata only, not the whole image)
    BitmapFactory.Options options = new BitmapFactory.Options();
    options.inJustDecodeBounds = true;
    BitmapFactory.decodeStream(in, null, options);
    in.close();
    in = null;

    // save width and height
    inWidth = options.outWidth;
    inHeight = options.outHeight;

    // decode full image pre-resized
    in = new FileInputStream(pathOfInputImage);
    options = new BitmapFactory.Options();
    // calc rought re-size (this is no exact resize)
    options.inSampleSize = Math.max(inWidth/dstWidth, inHeight/dstHeight);
    // decode full image
    Bitmap roughBitmap = BitmapFactory.decodeStream(in, null, options);

    // calc exact destination size
    Matrix m = new Matrix();
    RectF inRect = new RectF(0, 0, roughBitmap.getWidth(), roughBitmap.getHeight());
    RectF outRect = new RectF(0, 0, dstWidth, dstHeight);
    m.setRectToRect(inRect, outRect, Matrix.ScaleToFit.CENTER);
    float[] values = new float[9];
    m.getValues(values);

    // resize bitmap
    Bitmap resizedBitmap = Bitmap.createScaledBitmap(roughBitmap, (int) (roughBitmap.getWidth() * values[0]), (int) (roughBitmap.getHeight() * values[4]), true);

    // save image
    try
    {
        FileOutputStream out = new FileOutputStream(pathOfOutputImage);
        resizedBitmap.compress(Bitmap.CompressFormat.JPEG, 80, out);
    }
    catch (Exception e)
    {
        Log.e("Image", e.getMessage(), e);
    }
}
catch (IOException e)
{
    Log.e("Image", e.getMessage(), e);
}

我不知道我的解决方案是否是最佳实践,但我通过使用inDensity和inTargetDensity选项实现了加载我所需缩放的位图。当不加载可绘制资源时,inDensity初始值为0,因此此方法用于加载非资源图像。

变量imageUri, maxImageSideLength和context是我的方法的参数。为了清晰起见,我只发布了方法实现,没有包装AsyncTask。

            ContentResolver resolver = context.getContentResolver();
            InputStream is;
            try {
                is = resolver.openInputStream(imageUri);
            } catch (FileNotFoundException e) {
                Log.e(TAG, "Image not found.", e);
                return null;
            }
            Options opts = new Options();
            opts.inJustDecodeBounds = true;
            BitmapFactory.decodeStream(is, null, opts);

            // scale the image
            float maxSideLength = maxImageSideLength;
            float scaleFactor = Math.min(maxSideLength / opts.outWidth, maxSideLength / opts.outHeight);
            // do not upscale!
            if (scaleFactor < 1) {
                opts.inDensity = 10000;
                opts.inTargetDensity = (int) ((float) opts.inDensity * scaleFactor);
            }
            opts.inJustDecodeBounds = false;

            try {
                is.close();
            } catch (IOException e) {
                // ignore
            }
            try {
                is = resolver.openInputStream(imageUri);
            } catch (FileNotFoundException e) {
                Log.e(TAG, "Image not found.", e);
                return null;
            }
            Bitmap bitmap = BitmapFactory.decodeStream(is, null, opts);
            try {
                is.close();
            } catch (IOException e) {
                // ignore
            }

            return bitmap;

在Android开发者网站上有一篇关于这个问题的很棒的文章: 有效加载大位图