Image Denoising Using Median Filter with Edge Detection Using Canny Operator

Image denoising is one of the fundamental problem in image processing. In this paper, a novel approach to suppress noise from the image is conducted by applying the median filter, which is order-statistics filter and simpler. The noise level have not been reduced by using median filter. Interquartile range (IQR) which is one of the statistical methods used to detect outlier effect from a dataset. The essential advantage of applying IQR filter is to preserve edge sharpness better of the original image. PSNR was calculated and compared with median filter. The purpose of edge detection is to significantly reduce the amount of data. This paper compares and analyzes several kinds of image edge detection, including prewitt, sobel and canny with matlab tool. The experimental results on standard test images demonstrate this filter is simpler and better performing than median filter.