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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2008.1
- 수록면
- 173 - 178 (6page)
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초록· 키워드
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In this paper, we present a new impulsive noise detection technique. To remove the impulse noise without detail loss, only corrupted pixels must be filtered. In order to identify the corrupted pixels, a new impulse detector based on rank and value estimations of the current pixel is proposed. Based on the rank and value estimations of the current pixel, the new proposed method provides excellent statistics for detecting an impulse noise while reducing the probability of detecting image details as impulses. The proposed detection is efficient and can be used with any noise removal filter. Simulation results show that the proposed method significantly outperforms many other well-known detection techniques in terms of image restoration and noise detection.
목차
등록된 정보가 없습니다.
참고문헌 (16)
참고문헌 신청
A.B. Hamza / 1999 / Removing noise and preserving details with relaxed median filters / J. Math. Imaging and Vision 11 (2) : 161 ~ 177
D.R.K. Brownrigg / 1984 / The weighted median filter / Comm. Ass. Comput. Mach 27 (8) : 807 ~ 818
E. Abreu / 1996 / A new efficient approach for the removal of impulse noise from highly corrupted images / IEEE Trans. Image Process 5 (6) : 1012 ~ 1025
E. Abreu / 2000 / Signal-dependent rank-ordered mean filters,in Nonlinear Image Processing, ed. S.K. Mitra and G.L. Sicuranza / Academic Press
G. Pok / 2003 / Selective removal of impulse noise based on homogeneity level information / IEEE Trans. Image Process 12 (1) : 85 ~ 92
D.R.K. Brownrigg / 1984 / The weighted median filter / Comm. Ass. Comput. Mach 27 (8) : 807 ~ 818
E. Abreu / 1996 / A new efficient approach for the removal of impulse noise from highly corrupted images / IEEE Trans. Image Process 5 (6) : 1012 ~ 1025
E. Abreu / 2000 / Signal-dependent rank-ordered mean filters,in Nonlinear Image Processing, ed. S.K. Mitra and G.L. Sicuranza / Academic Press
G. Pok / 2003 / Selective removal of impulse noise based on homogeneity level information / IEEE Trans. Image Process 12 (1) : 85 ~ 92
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