Abstract
A new algorithm for effectively removing impulsive noise in digital images is proposed. Our computationally efficient algorithm first classifies corrupted pixels and then performs median filtering only for them. We introduce new efficiency factors to compare the performance of the noise detection algorithms. Simulation results show that the proposed algorithm performs better than the existing methods in terms of both objective and subjective evaluations.
| Original language | English |
|---|---|
| Pages | 1021-1024 |
| Number of pages | 4 |
| Publication status | Published - 1998 Dec 1 |
| Event | Proceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98 - Beijing, China Duration: 1998 Oct 12 → 1998 Oct 16 |
Other
| Other | Proceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98 |
|---|---|
| City | Beijing, China |
| Period | 98/10/12 → 98/10/16 |
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All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Computer Science Applications
Cite this
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Efficient approach to impulsive noise filtering. / Lee, Kyu Cheol; Sohn, Kwanghoon; Huh, Young.
1998. 1021-1024 Paper presented at Proceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98, Beijing, China, .Research output: Contribution to conference › Paper
TY - CONF
T1 - Efficient approach to impulsive noise filtering
AU - Lee, Kyu Cheol
AU - Sohn, Kwanghoon
AU - Huh, Young
PY - 1998/12/1
Y1 - 1998/12/1
N2 - A new algorithm for effectively removing impulsive noise in digital images is proposed. Our computationally efficient algorithm first classifies corrupted pixels and then performs median filtering only for them. We introduce new efficiency factors to compare the performance of the noise detection algorithms. Simulation results show that the proposed algorithm performs better than the existing methods in terms of both objective and subjective evaluations.
AB - A new algorithm for effectively removing impulsive noise in digital images is proposed. Our computationally efficient algorithm first classifies corrupted pixels and then performs median filtering only for them. We introduce new efficiency factors to compare the performance of the noise detection algorithms. Simulation results show that the proposed algorithm performs better than the existing methods in terms of both objective and subjective evaluations.
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UR - http://www.scopus.com/inward/citedby.url?scp=0032277170&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:0032277170
SP - 1021
EP - 1024
ER -