### Efficient calculation with multiple cv::Mat

Hello,
I need to do some math with my matrices and I would like to know the most performant way.
I have the following vectors:

```
std::vector<cv::Mat> b //200 matrices with 1 row and 1000 elements per row
std::vector<cv::Mat> w //200 matrices with 1 row and 1000 elements per row
std::vector <cv::Mat>image //200 matrices with 500 rows and 1000 elements per row
```

All vectors with the same index belong together.
I need to calculate the following for every Mat of the vectors with the same index and every pixel in the image:

```
image(x, y) = (image(x,y) β b(x)) / (w(x) β b(x)) * 0,9
```

I would start like the following:

```
for(int i=0; i<image.size(); i++)
{
//And here?
//Usage of the βatβ-method or pointer arithmetic?
//Or is there an operation which can calculate everything automatically line by line?
}
```

Thank you very much :-)