Title :
Edge preserving image denoising method based on averaging
Author :
Duman, Elvan ; Erdem, O. Ayhan
Author_Institution :
Teknoloji Fak., Gazi Univ., Ankara, Turkey
Abstract :
Image denoising is an important task in image processing. Various filtering techniques has been developed for image denoising but the algorithms have specific limitations. The main feature of a good image denoising technique is that it will remove noise while preserving structure of image. In this paper, we present a new image denoising method based on averaging. The denoising performance is measured according to PSNR (Peak Signal-to-Nosie Ratio) metric by employing experiments. Experimental results show that the proposed method removes noise significantly and preserve image edges.
Keywords :
image denoising; image filtering; PSNR; edge preserving image denoising; filtering techniques; image processing; image structure; peak signal-to-nosie ratio; Image denoising; Image edge detection; Noise reduction; PSNR; Speckle; Edge preserving; Image denoising; Image processing; Mean filter;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7130218