如何从原始拜耳图像数据(字节数组)中获取位图图像?

时间:2013-05-13 21:04:49

标签: c++ visual-studio-2010 windows-7 bitmap bytearray

我有像这样获得的图像数据:

unsigned char* imageData = NULL;
GetImage(imageData);

imageData以原始BayerGR8格式返回:也就是说:

G R G R G R G R ... 
B G B G B G B G ...
G R G R G R G R ...
      ...

其中每个像素占8位。

正在抓取的图像为2752x2200(像素)。

每当我设置位图然后使用此图像数据创建位图时,位图总是空白。这是我的位图设置:

    BITMAPFILEHEADER* bf = new BITMAPFILEHEADER;
    bf->bfType = 0x4d42;
    bf->bfSize = 6054400 + 54 + sizeof(BITMAPINFO);
    bf->bfOffBits = 54;

    BITMAPINFOHEADER* bih = new BITMAPINFOHEADER;
    bih->biSize = 40;
    bih->biWidth = 2752;
    bih->biHeight = 2200;
    bih->biPlanes = 1;
    bih->biBitCount = 8;
    bih->biCompression = 0;
    bih->biXPelsPerMeter = 2835;
    bih->biYPelsPerMeter = 2835;
    bih->biClrUsed = 0;
    bih->biClrImportant = 0;

到目前为止,我已尝试过以下内容:

HDC hdc = ::GetDC(NULL);
HBITMAP hbit = CreateDIBitmap(hdc, globalinfoheader, CBM_INIT, imageData, pbmi, DIB_RGB_COLORS);

但正如我所说,位图最终是一个空白的浅灰色图像。我一直在查看关于位图的维基百科文章,我觉得它可能与biClrUsed值有关,但我不知道应该是什么值,到目前为止只是玩数字。

我还尝试将图像数据直接转换为CImage(后来我将转换为HBITMAP),如下所示:

void ConvertImageBufferToCImage(unsigned char *pInBuffer, CImage *pOutImage)
{
    if ( NULL != *pOutImage )
    {
        unsigned char *pCursor = (unsigned char*)pOutImage->GetBits();
        int nHeight = 2200;
        int nWidth = 2752;
        int nStride = 0;

        if ( 0 < nStride)
        {
            for ( int y=0; y<nHeight; ++y )
            {
                for ( int x=0; x<nWidth; ++x )
                {
                    *pCursor = *pInBuffer;
                    ++pCursor;
                    ++pInBuffer;
                }
                // Consider stride
                pCursor += nStride;
            }
        }
        else
        {
            memcpy( pOutImage->GetBits(), pInBuffer, nWidth * nHeight );
        }
    }
}

我的问题是:如何获取我的原始拜耳图像数据并从中获取rgb颜色位图?

编辑:

知道了。这是我创建的功能(插值方法):

/////////////////////////////////////////////////////////////
// ConvertBayer8ToBgr()
// Converts raw BayerGR8 pixels into
//     BGR pixels.
//
//  G | R | G | R              B G R | B G R | B G R | B G R
// --- --- --- ---            ------- ------- ------- -------
//  B | G | B | G        |\    B G R | B G R | B G R | B G R
// --- --- --- ---  -----  \  ------- ------- ------- -------
//  G | R | G | R   -----  /   B G R | B G R | B G R | B G R
// --- --- --- ---       |/   ------- ------- ------- -------
//  B | G | B | G              B G R | B G R | B G R | B G R
//
/////////////////////////////////////////////////////////////
void ConvertBayer8ToBGR(VmbUchar_t* bayerImgDat, VmbUchar_t* bgrOutputDat)
{
    VmbUchar_t* newimagedata_start = bgrOutputDat;

    int currentTempIndex = 0;
    int nearestBluesAvg = 0;
    int nearestRedsAvg = 0;
    int nearestGreensAvg = 0;

    for(int j = 0; j < 1100; j++)
    {
        for(int i = 0; i < 2752; i++) //G R G R G... 
        {
            if(currentTempIndex % 2 == 0 /* even, green */)
            {
                //avg blue
                if(j == 0) //if in the first row, only take next blue
                {
                    nearestBluesAvg = *(bayerImgDat+currentTempIndex+2752);
                }
                else
                {
                    nearestBluesAvg = (*(bayerImgDat + currentTempIndex + 2752) + *(bayerImgDat+currentTempIndex-2752)) / 2;
                }
                *bgrOutputDat = nearestBluesAvg; //b
                bgrOutputDat++;
                *bgrOutputDat = *(bayerImgDat + currentTempIndex); //g
                bgrOutputDat++;
                //avg red
                if(i == 0) //if in first column, only take next red 
                {
                    nearestRedsAvg = *(bayerImgDat+currentTempIndex+1);
                }
                else
                {
                    nearestRedsAvg = ( (*(bayerImgDat+currentTempIndex+1)) + (*(bayerImgDat+currentTempIndex-1)) ) / 2;
                }
                *bgrOutputDat = nearestRedsAvg; //r
                bgrOutputDat++;

                currentTempIndex++;
            }
            else /* odd, red*/
            {
                //avg blue
                if(i == 1099) //if in last column, take just left-down blue pixel
                {
                    nearestBluesAvg = *(bayerImgDat+currentTempIndex-1+2752);
                }
                else // else take both left-down and right-down
                {
                    nearestBluesAvg = (*(bayerImgDat+currentTempIndex+1+2752) + *(bayerImgDat+currentTempIndex-1+2752)) / 2;
                }
                *bgrOutputDat = nearestBluesAvg; //b
                bgrOutputDat++;
                //avg green
                nearestGreensAvg = (*(bayerImgDat+currentTempIndex-1) + *(bayerImgDat+currentTempIndex+2752)) / 2;
                *bgrOutputDat = nearestGreensAvg;  //g
                bgrOutputDat++;
                *bgrOutputDat = *(bayerImgDat + currentTempIndex); //r
                bgrOutputDat++;

                currentTempIndex++;
            }
        }
        for(int i = 0; i < 2752; i++)//B G B G B G B....
        {
            if(currentTempIndex % 2 == 0 /* even, blue */)
            {

                *bgrOutputDat = *(bayerImgDat + currentTempIndex); //b
                bgrOutputDat++;
                //avg green
                nearestGreensAvg = (*(bayerImgDat + currentTempIndex + 1) + *(bayerImgDat + currentTempIndex -2752)) / 2;
                *bgrOutputDat = nearestGreensAvg; //g
                bgrOutputDat++;
                //avg red
                if(i == 0) //if first column, take only right-up pixel
                {
                    nearestRedsAvg = *(bayerImgDat+currentTempIndex+1-2752);
                }
                else //else take both left-up and right-up pixels
                {
                    nearestRedsAvg = (*(bayerImgDat+currentTempIndex-1-2752) + *(bayerImgDat+currentTempIndex+1-2752)) / 2;
                }
                *bgrOutputDat = nearestRedsAvg; //r
                bgrOutputDat++;

                currentTempIndex++;

            }
            else /* odd, green*/
            {
                //avg blue
                if(i == 2751) //if in last column, only take previous blue (next blue doesnt exist)
                {
                    nearestBluesAvg = *(bayerImgDat + currentTempIndex - 1);
                }
                else //else take both next and previous
                {
                    nearestBluesAvg = (*(bayerImgDat+currentTempIndex+1) + *(bayerImgDat+currentTempIndex-1)) / 2;
                }
                *bgrOutputDat = nearestBluesAvg; //b
                bgrOutputDat++;
                *bgrOutputDat = *(bayerImgDat + currentTempIndex); //g
                bgrOutputDat++;
                //avg red
                if(j == 1099) //if in last row, only take previous red (next red doesn't exist)
                {
                    nearestRedsAvg = *(bayerImgDat+currentTempIndex-2752);
                }
                else //else take both
                {
                    nearestRedsAvg = (*(bayerImgDat+currentTempIndex+2752) + *(bayerImgDat+currentTempIndex-2752)) / 2;
                }
                *bgrOutputDat = nearestRedsAvg; //r
                bgrOutputDat++;

                currentTempIndex++;
            }
        }
    }


    bgrOutputDat = newimagedata_start;
}

1 个答案:

答案 0 :(得分:2)

您必须插入拜耳图像的组件。这是一个有用的链接:

http://www.siliconimaging.com/RGB%20Bayer.htm

查看插值部分的中途。

就目标图像而言,只需创建一个股票标准RGB 24位或32位位图,并在从拜耳图像中插入组件时设置这些位。

似乎有一半的问题是关于颜色转换的,有一半是关于你的Bitmap代码无效的原因。有无数的例子在Windows中创建RGB位图,所以我不会进入它。