Performance of bilateral filtering on Gaussian noise
- 주제(키워드) bilateral filtering , denoising , ergodic theorem
- 등재 SCIE, SCOPUS
- 발행기관 IS&T & SPIE
- 발행년도 2014
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000109669
- 본문언어 영어
- Published As http://dx.doi.org/10.1117/1.JEI.23.4.043024
초록/요약
Bilateral filtering is a nonlinear technique that reduces noise from images while preserving strong image edges. Due to the nonlinear nature of bilateral filtering, it is difficult to analyze the performance of the filter. We derive a closed-form equation of bilateral filtering for flat regions which shows the relationship between noise reduction and filtering parameters. This work explicitly shows that noise reduction depends on the ratio of the range parameter to the noise standard deviation, which confirms reported empirical observations. The derived result is a significant contribution for the analysis of bilateral filters toward estimating the optimal parameters for minimum mean square error. We demonstrate that the theoretical analysis presented is consistent with simulations. (C) 2014 SPIE and IS&T
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