Gaussian image smoothing using OpenCV

Image smoothing is often used in digital image processing to reduce noise or camera artifacts. An example of a common algortihm used to perform image smoothing is Gaussian. Gaussian filtering is done by convolving each pixel in the input image with a Gaussian Kernal and then summing to produce the output image.

#include "stdafx.h"
#include "cv.h"
#include "highgui.h"

int _tmain(int argc, _TCHAR* argv[])
{
	// open and display input image
	IplImage* input = cvLoadImage("test.jpg");
	cvNamedWindow("Input", CV_WINDOW_AUTOSIZE);
	cvShowImage("Input", input);

	// create the output 
	IplImage* output = cvCreateImage(cvSize(input->width, input->height), input->depth, input->nChannels);
	cvSmooth(input, output, CV_GAUSSIAN, 9);

	// display the output image
	cvNamedWindow("Output", CV_WINDOW_AUTOSIZE);
	cvShowImage("Output", output);

	// wait for user
	cvWaitKey(0);

	// garbage collection
	cvReleaseImage(&input);
	cvReleaseImage(&output);
	cvDestroyWindow("Input");
	cvDestroyWindow("Output");
	
	return 0;
}

Input image

Output Image after smoothing

This entry was posted in Digital Image Processing.

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