Sharpening videos using openCV

Question

I would like to sharpen my image using OpenCV, and I looked at an example online that performs sharpening on an image in grayscale, and I tried it and it works fine. However, I am now trying to do the same, but with RGB colors, so I perform the same functionality on three channels separately, but this does not give me any result, since the image is exactly the same as the original image.

#include "Sharpening.h" using namespace std; Sharpening::Sharpening() { } Sharpening::~Sharpening() { } IplImage* Sharpening::laplace(IplImage* channel) { CvSize size = cvSize(channel->width, channel->height); IplImage* temp = cvCreateImage(size, IPL_DEPTH_8U, 1); IplImage* lapl = cvCreateImage(size, IPL_DEPTH_8U, 1); int width = size.width; int height = size.height; cvConvertScale(channel, temp, 1.0); CvMat* ker = cvCreateMat(3, 3, CV_32FC1); cvSet(ker, cvScalarAll(-1.0)); cvSet2D(ker, 1, 1, cvScalarAll(15.0)); cout << "this is been executed"; cvFilter2D(temp, lapl, ker); cvReleaseMat(&ker); double maxv = 0.0; float maxFloat = 1.79769e+308; double minv = maxFloat; cvMinMaxLoc(lapl, &minv, &maxv); for (int i = 0; i < width * height; i++) { double lap_val = cvGet1D(lapl, i).val[0]; int v = (int) ((255.0 * lap_val / maxv) + 0.5); // this calculation does nothing particularly cvSet1D(temp, i, cvScalarAll(v)); } maxv = 0.0; cvMinMaxLoc(channel, &minv, &maxv); for (int i = 0; i < width * height; i++) { double val = cvGet1D(channel, i).val[0]; int v = (int) ((255.0 * val / maxv) + 0.5); cvSet1D(channel, i, cvScalarAll(v)); } cvReleaseImage(&temp); cvReleaseImage(&lapl); cvReleaseMat(&ker); return channel; } // end of function int Sharpening::calculateLoop(int number) { int value = 2; for (int i = 0; i < 10; i++) { number = number * value; cout << number << endl; } return number; } //====================================================================================== int Sharpening::SharpenColored(Sharpening sharp) { int key = 0; CvCapture *capture = 0; IplImage* frame = 0; cvNamedWindow("deblur", CV_WINDOW_AUTOSIZE); cvNamedWindow("deblur2", CV_WINDOW_AUTOSIZE); cvNamedWindow("origional", CV_WINDOW_AUTOSIZE); // initialize camera capture = cvCaptureFromCAM(0); //capture from a camera //capture = cvCaptureFromAVI("jabelH2.avi"); //frame = cvQueryFrame(capture); if (!cvGrabFrame(capture)) { // capture a frame printf("Could not grab a frame\n\7"); exit(0); } frame = cvQueryFrame(capture); CvSize imageSize1 = cvSize(frame->width, frame->height); IplImage* R = cvCreateImage(imageSize1, IPL_DEPTH_8U, 1); IplImage* G = cvCreateImage(imageSize1, IPL_DEPTH_8U, 1); IplImage* B = cvCreateImage(imageSize1, IPL_DEPTH_8U, 1); IplImage* R2 = cvCreateImage(imageSize1, IPL_DEPTH_8U, 1); IplImage* G2 = cvCreateImage(imageSize1, IPL_DEPTH_8U, 1); IplImage* B2 = cvCreateImage(imageSize1, IPL_DEPTH_8U, 1); IplImage* source = cvCreateImage(imageSize1, IPL_DEPTH_8U, 3); IplImage* result = cvCreateImage(imageSize1, IPL_DEPTH_8U, 3); IplImage* result2 = cvCreateImage(imageSize1, IPL_DEPTH_8U, 3); QFuture<IplImage*> future1; QFuture<IplImage*> future2; QFuture<IplImage*> future3; while (key != 'q') { // get a frame frame = cvQueryFrame(capture); // always check if (!frame) break; source = frame; cvSplit(frame, B, G, R, NULL); future1 = QtConcurrent::run(sharp, &Sharpening::laplace, R); future2 = QtConcurrent::run(sharp, &Sharpening::laplace, G); future3 = QtConcurrent::run(sharp, &Sharpening::laplace, B); R2 = future1.result(); G2 = future2.result(); B2 = future3.result(); cvMerge(B2, G2, R2, NULL, result); cvAdd(source, result, result2, NULL); cvShowImage("origional", source); cvShowImage("deblur", R2); cvShowImage("deblur2", G2); key = cvWaitKey(1); } //end of while cvDestroyWindow("deblur"); cvDestroyWindow("deblur2"); cvDestroyWindow("origional"); cvReleaseImage(&R); cvReleaseImage(&source); cvReleaseImage(&R2); cvReleaseImage(&G); cvReleaseImage(&G2); cvReleaseImage(&B); cvReleaseImage(&B2); cvReleaseImage(&result); cvReleaseImage(&result2); cvReleaseCapture(&capture); delete future1; delete future2; delete future3; return 0; } //end of function //====================================================================================== int main(int argc, char *argv[]) { Sharpening sh; sh.SharpenColored(sh); } 

Answer 1

Now I'm trying to do the same, but with RGB colors, so I am doing the same functionality

Check your assumptions! I don’t think you are doing the same thing. I don’t know openCv very well, but you are not doing anything with your temporary image, so there is no reason to change the channel image! You should set the result of the temporary image in the original image, something like this:

 for (int i = 0; i < width * height; i++) { double lap_val = cvGet1D(lapl, i).val[0]; // get modified image data int v = (int) ((255.0 * lap_val / maxv) + 0.5); // scale to 0 255 cvSet1D(channel, i, cvScalarAll(v)); // store in original image } 

Or you can take the source code and comment on it to explain what each cvImage contains and see what you missed when reusing it in your application.