How to accelerate my camera control?

edit

I am working with opencv 2.48 and visual studio 2010. When I add into my code Gaussian filtering and canny edge detection, the time of the image capturing was increased. How can I accelerate this process. If I have to add more functions for image processing and object tracking I thing that the speed for image capturing will be decreased more? I am using uEye camera 1490-M-GL.

Here is my code:

#include <opencv2\core\core.hpp>
#include <opencv2\highgui\highgui.hpp>
#include <opencv2\opencv.hpp>
#include <opencv2\imgproc\imgproc.hpp>
#include <iostream>

using namespace cv;
using namespace std;

int main(){
    VideoCapture cap(0);
    cap.open(0);
    if (false)
    {
        return -1;
    }

    cap.set(CV_CAP_PROP_FRAME_WIDTH, 3840);
    cap.set(CV_CAP_PROP_FRAME_HEIGHT, 2748);
    cap.set(CV_CAP_PROP_FPS, 30.00);
    cap.set(CV_CAP_PROP_POS_MSEC, 300);

    int width = cap.get(CV_CAP_PROP_FRAME_WIDTH);
    int height = cap.get(CV_CAP_PROP_FRAME_HEIGHT);
    double fps = cap.get(CV_CAP_PROP_FPS);

    namedWindow("wind1", 0);
    namedWindow("wind50", 0);
        IplImage* videoFrame = cvCreateImage(cvSize(width, height), IPL_DEPTH_8U, 1);

        cout << "W" << width << "FPS" << fps << endl;

        Mat gray;
        int counter = 0;

        while(1)
        {
       Mat frame; 
       cap.read(frame);

       imshow("wind1", frame);

       if (!frame.data) break;

       cvtColor(frame, gray, COLOR_BGR2GRAY);
       GaussianBlur(gray, gray, Size(7,7), 1.5, 1.5);
           Canny(gray, gray, 0, 30, 3);

       imshow("wind50", gray);
       }
       return 0;
}