지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
이용수
초록· 키워드
오류제보하기
The essential idea of de-noising is referring to neighboring pixels of a center pixel to be updated. Conventional adaptive de-noising filters use local statistics, i.e., mean and variance, of neighboring pixels including the center pixel. The drawback of adaptive de-noising filters is that their performance becomes low when edges are contained in neighboring pixels, while anisotropic diffusion de-noising filters remove adaptively noises and preserve edges considering intensity difference between neighboring pixel and the center pixel. The anisotropic diffusion de-noising filters, however, use only intensity difference between neighboring pixels and the center pixel, i.e., local statistics of neighboring pixels and the center pixel are not considered. We propose a new connectivity function of two adjacent pixels using statistics of neighboring pixels and apply connectivity function to diffusion coefficient. Experimental results using an aerial image corrupted by uniform and Gaussian noises showed that the proposed algorithm removed more efficiently noises than conventional diffusion filter and median filter.
목차
등록된 정보가 없습니다.
참고문헌 (11)
참고문헌 신청
Alvarez, L. / 1992 / Image selective smoothing and edge detection by nonlinear diffusion II / SIAM Numer. Anal. 29 (3) : 845 ~ 866
El-Fallah, A. / 1997 / Mean curvature evolution and surface area scaling in image filtering / IEEE Trans. Image Processing 6 (5) : 750 ~ 753
Frost, V.S. / 1982 / A model for radar image and its application to adaptive digital filtering of multiplicative noise / IEEE Trans. on Pattern Analysis and Machine Intellige
Ham, B. / 2013 / Revisiting the relationship between adaptive smoothing and anisotropic diffusion with modified filters / IEEE Trans. on Image Processing 22 (3) : 1096 ~ 1107
Kuan, D.T. / 1985 / Adaptive noise smoothing filter for images with signal dependent noise / IEEE Trans. on Pattern Analysis and Machine Intelligence 7 (2) : 165 ~ 177
El-Fallah, A. / 1997 / Mean curvature evolution and surface area scaling in image filtering / IEEE Trans. Image Processing 6 (5) : 750 ~ 753
Frost, V.S. / 1982 / A model for radar image and its application to adaptive digital filtering of multiplicative noise / IEEE Trans. on Pattern Analysis and Machine Intellige
Ham, B. / 2013 / Revisiting the relationship between adaptive smoothing and anisotropic diffusion with modified filters / IEEE Trans. on Image Processing 22 (3) : 1096 ~ 1107
Kuan, D.T. / 1985 / Adaptive noise smoothing filter for images with signal dependent noise / IEEE Trans. on Pattern Analysis and Machine Intelligence 7 (2) : 165 ~ 177
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