| Title |
Adaptive Median Filter by Local Central Variance |
| Authors |
조우연(Cho Woo-Yeon) ; 최두일(Choi Doo-Il) |
| Keywords |
메디안 필터 ; 분산 ; 중간값 분산 ; 적응형 필터 ; 비선형 필터 ; |
| Abstract |
Median filters in the signal processing have been most widely used and have demonstrated the strongest effects. This paper proposes the adaptive median filters with noise detection. The proposed basic algorithm of the filters is to judge whether or not the noises exist on the ground of The Noise Judgment Standards. Just in case the existence of the noises is verified by the algorithm, it takes the median filter. In order to judge the existence of the noises by the algorithm, this paper introduced the noise detection method by local central variance. As a result of comparing and analyzing the features and performance of the proposed filters and the existing [5]-[10] filters on the same conditions, it was verified that the former proved to be better than the latter, Observed even by naked eyes, it was similar, too. Accordingly, it's proved that the adaptive median filters by local central variance are useful in removing the impulse noise of the median filter and reinforce the edge preservation ability. |