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http://dx.doi.org/10.6109/jkiice.2012.16.8.1773

A Study on Improved Denoising Algorithm for Edge Preservation in AWGN Environments  

Yinyu, Gao (부경대학교 제어계측공학과)
Kim, Nam-Ho (부경대학교 제어계측공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.16, no.8, 2012 , pp. 1773-1778 More about this Journal
Abstract
Nowadays, the high quality of image is required with the demand for digital image processing devices is rapidly increasing. But image always damaged by many kinds of noises and it is necessary to remove noise and the denoising becomes one of the most important fields. In many cases image is corrupted by AWGN(additive white Gaussian noise). In this paper, we proposed an improved denoising algorithm with edge preservation. The proposed algorithm averages values processed by spatial weighted filter and self adaptive weighted filter. Then we add the value which is computed by the equation considering variance of mask and the estimated noise variance. Through the experience, the proposed filter performs well on noise suppression and edge preservation properties and improves the image visual quality.
Keywords
Denoising; AWGN; Mask; Weighted filter; High-frequence components; Variance;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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