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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Published in | 2015 23nd Signal Processing and Communications Applications Conference (SIU) pp. 1857 - 1860 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.05.2015
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Subjects | |
Online Access | Get full text |
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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. |
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ISSN: | 2165-0608 2693-3616 |
DOI: | 10.1109/SIU.2015.7130218 |