允许多个线程访问图像 [英] Allow an Image to be accessed by several threads

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本文介绍了允许多个线程访问图像的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我正在尝试在C#中进行一些图像处理。
我想使用一些线程在我的图像中的几个区域上进行并行计算。
线程实际上是在Bitmap对象中获取和设置像素。 2个线程绝对没有机会访问同一像素,所以这不是问题。

I'm trying to do some image processing in C#. I want to use some threads to do parallel computations on several zones in my image. Threads are actually getting and setting pixels in a Bitmap object. There is absolutely no chance for 2 threads to access the same pixel, so that's not the problem.

问题是C#不允许我在同一个线程上启动多个线程Bitmap对象,即使我确定不会同时读取和修改相同的像素。

The problem is that C# doesnt allow me to start several threads on the same Bitmap object, even if i'm sure that the same pixel won't be read and modified simultaneously.

有没有办法避免C#引发此错误?或者在我的Bitmap对象上运行多个线程是不可能的?

Is there any way to avoid C# to raise this error ? Or is it just impossible to run several threads on my Bitmap object ?

谢谢,

Pierre-Olivier

Pierre-Olivier

推荐答案

使用 LockBits 也比 GetPixel快得多& SetPixel )您可以将图像的像素复制到缓冲区,在其上运行并行线程,然后将缓冲区复制回来。

Using LockBits (which is also much faster than GetPixel & SetPixel) you can copy the image's pixels to a buffer, run parallel threads on it, and then copy the buffer back.

这是一个有效的例子。

void Test()
{
    string inputFile = @"e:\temp\a.jpg";
    string outputFile = @"e:\temp\b.jpg";

    Bitmap bmp = Bitmap.FromFile(inputFile) as Bitmap;

    var rect = new Rectangle(0, 0, bmp.Width, bmp.Height);
    var data = bmp.LockBits(rect, ImageLockMode.ReadWrite, bmp.PixelFormat);
    var depth = Bitmap.GetPixelFormatSize(data.PixelFormat) / 8; //bytes per pixel

    var buffer = new byte[data.Width * data.Height * depth];

    //copy pixels to buffer
    Marshal.Copy(data.Scan0, buffer, 0, buffer.Length);

    Parallel.Invoke(
        () => {
            //upper-left
            Process(buffer, 0, 0, data.Width / 2, data.Height / 2, data.Width, depth);
        },
        () => {
            //lower-right
            Process(buffer, data.Width / 2, data.Height / 2, data.Width, data.Height, data.Width, depth);
        }
    );

    //Copy the buffer back to image
    Marshal.Copy(buffer, 0, data.Scan0, buffer.Length);

    bmp.UnlockBits(data);

    bmp.Save(outputFile, ImageFormat.Jpeg);
}

void Process(byte[] buffer, int x, int y, int endx, int endy, int width, int depth)
{
    for (int i = x; i < endx; i++)
    {
        for (int j = y; j < endy; j++)
        {
            var offset = ((j * width) + i) * depth;
            // Dummy work    
            // To grayscale (0.2126 R + 0.7152 G + 0.0722 B)
            var b = 0.2126 * buffer[offset + 0] + 0.7152 * buffer[offset + 1] + 0.0722 * buffer[offset + 2];
            buffer[offset + 0] = buffer[offset + 1] = buffer[offset + 2] = (byte)b;
        }
    }
}

输入图片:

输出图片:

一些粗略的测试:

双核2.1GHz机器上将( 41兆像素,[7152x5368] )图像转换为灰度

Converting a (41 MegaPixel, [7152x5368]) image to a gray scale on a dual core 2.1GHz machine


  • GetPixel / SetPixel - 单核 - 131秒。

  • LockBits - 单核 - 4.5秒。

  • LockBits - 双核 - 3秒

这篇关于允许多个线程访问图像的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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