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Region Growing Based Variable Window Size Decision Algorithm for Image Denoising  

엄일규 (밀양대학교 정보통신공학과)
김유신 (부산대학교 컴퓨터 및 정보통신연구소)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.41, no.5, 2004 , pp. 111-116 More about this Journal
Abstract
It is essential to know the information about the prior model for wavelet coefficients, the probability distribution of noise, and the variance of wavelet coefficients for noise reduction using Bayesian estimation in wavelet domain. In general denoising methods, the signal variance is estimated from the proper prior model for wavelet coefficients. In this paper, we propose a variable window size decision algorithm to estimate signal variance according to image region. Simulation results shows the proposed method have better PSNRs than those of the state of art denoising methods.
Keywords
잡음제거;영역 확장;가변 윈도우;웨이블릿;
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