Edge preserving image denoising method based on averaging

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 p...

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Bibliographic Details
Published in2015 23nd Signal Processing and Communications Applications Conference (SIU) pp. 1857 - 1860
Main Authors Duman, Elvan, Erdem, O. Ayhan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2015
Subjects
Edge preserving
Image denoising
Image edge detection
Image processing
Mean filter
Noise reduction
PSNR
Speckle
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Summary: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.
ISSN:2165-0608
2693-3616
DOI:10.1109/SIU.2015.7130218