使用 GDI 调整图像大小
我真的很想从这段代码中找出更多的性能。它不是大量使用的代码,但每次上传新图像时都会使用,并且每个图像使用 4 次(100px、200px、500px、700px)。因此,当处理的图像超过 2 或 3 个时,服务器会变得有点忙。另外,我正在尝试弄清楚如何使其正确处理低分辨率的图像。目前它只是将其砍掉一半,不令人愉快。 示例:原始、大,xLarge
public static byte[] ResizeImageFile(byte[] imageFile, int targetSize)
{
using (System.Drawing.Image oldImage = System.Drawing.Image.FromStream(new MemoryStream(imageFile)))
{
Size newSize = CalculateDimensions(oldImage.Size, targetSize);
using (Bitmap newImage = new Bitmap(newSize.Width, newSize.Height, PixelFormat.Format32bppRgb))
{
newImage.SetResolution(oldImage.HorizontalResolution, oldImage.VerticalResolution);
using (Graphics canvas = Graphics.FromImage(newImage))
{
canvas.SmoothingMode = SmoothingMode.AntiAlias;
canvas.InterpolationMode = InterpolationMode.HighQualityBicubic;
canvas.PixelOffsetMode = PixelOffsetMode.HighQuality;
canvas.DrawImage(oldImage, new Rectangle(new Point(0, 0), newSize));
MemoryStream m = new MemoryStream();
newImage.Save(m, ImageFormat.Jpeg);
return m.GetBuffer();
}
}
}
}
private static Size CalculateDimensions(Size oldSize, int targetSize)
{
Size newSize = new Size();
if (oldSize.Width > oldSize.Height)
{
newSize.Width = targetSize;
newSize.Height = (int)(oldSize.Height * (float)targetSize / (float)oldSize.Width);
}
else
{
newSize.Width = (int)(oldSize.Width * (float)targetSize / (float)oldSize.Height);
newSize.Height = targetSize;
}
return newSize;
}
感谢您的帮助!
I'm really trying to nail out a little more performance out of this tidbit of code. It's not a heavly used bit of code but is used every time a new image is uploaded, and 4 times for each image (100px, 200px, 500px, 700px). So when there are any more than 2 or 3 images processing, it gets a little busy on the server. Also I'm trying to figure out how to make it correctly process images with a low resolution. Currently it just chops it off half way through, not plesent.
Examples: Original, large, xLarge
public static byte[] ResizeImageFile(byte[] imageFile, int targetSize)
{
using (System.Drawing.Image oldImage = System.Drawing.Image.FromStream(new MemoryStream(imageFile)))
{
Size newSize = CalculateDimensions(oldImage.Size, targetSize);
using (Bitmap newImage = new Bitmap(newSize.Width, newSize.Height, PixelFormat.Format32bppRgb))
{
newImage.SetResolution(oldImage.HorizontalResolution, oldImage.VerticalResolution);
using (Graphics canvas = Graphics.FromImage(newImage))
{
canvas.SmoothingMode = SmoothingMode.AntiAlias;
canvas.InterpolationMode = InterpolationMode.HighQualityBicubic;
canvas.PixelOffsetMode = PixelOffsetMode.HighQuality;
canvas.DrawImage(oldImage, new Rectangle(new Point(0, 0), newSize));
MemoryStream m = new MemoryStream();
newImage.Save(m, ImageFormat.Jpeg);
return m.GetBuffer();
}
}
}
}
private static Size CalculateDimensions(Size oldSize, int targetSize)
{
Size newSize = new Size();
if (oldSize.Width > oldSize.Height)
{
newSize.Width = targetSize;
newSize.Height = (int)(oldSize.Height * (float)targetSize / (float)oldSize.Width);
}
else
{
newSize.Width = (int)(oldSize.Width * (float)targetSize / (float)oldSize.Height);
newSize.Height = targetSize;
}
return newSize;
}
Thanks for and help!
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评论(3)
第一个想到的是,你考虑过多线程吗?即在单独的线程中为每个图像(或一批图像)调用此方法?这样,如果您的服务器有几个核心,您就可以更快地完成工作。只是一个想法...
The first thought that comes to mind is, have you thought about Multithreading it? i.e. calling this method for each image (or batch of images) in a separate thread? That way, if your server has a few cores you can get things done quicker. Just a thought...
(线程是一个很好的技巧。)
尝试每次都使用尽可能小的图像作为输入来调用您的方法,而不是原始图像。如果原始图像是 2000 像素,则从中创建 700 像素图像,然后使用新创建的 700 像素图像创建 500 像素等...
使用 HighQualityBicubic 设置,我怀疑您会注意到 100 像素图像中的任何差异。 (但这当然需要验证。)
(Threading is a great tip.)
Try to call your method with the smallest possible image as input each time, instead of the original image. If the original image is, say 2000px, then create the 700px image from it and then use your newly created 700px image to create the 500px, etc...
With the HighQualityBicubic setting I doubt that you'll notice any difference in the 100px image. (But it of course it needs to be verified.)
为了完整起见,这是从未得到解答的问题第二部分的解决方案。处理低分辨率图像时,图像被剪掉。现在的解决方案似乎很明显。问题在于上面的这段代码:
问题是我选择了 PixelFormat,而不是让它成为原始图像的格式。正确的代码在这里:
For completeness, here is the solution to the second part of the question which was never answered. When processing a low resolution image the image was being cut off. The solution now, seems obvious. The problem lies in this bit of code from above:
The problem being that I'm selecting the PixelFormat, not letting it be the format of the original image. The correct code is here: