Name
Abstract | ||
|---|---|---|
This paper presents a new fuzzy switching median (FSM) filter employing fuzzy techniques in image processing. The proposed filter is able to remove salt-and-pepper noise in digital images while preserving image details and textures very well. By incorporating fuzzy reasoning in correcting the detected noisy pixel, the low complexity FSM filter is able to outperform some well known existing salt-and-pepper noise fuzzy and classical filters. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/TCE.2008.4711258 | IEEE Trans. Consumer Electronics |
Keywords | Field | DocType |
noise reduction,fuzzy logic,histograms,digital image,salt and pepper noise,noise measurement,fuzzy set theory,median filter,digital filters,image processing,noise,fuzzy sets,noise cancellation,digital images,pixel | Computer vision,Root-raised-cosine filter,Median filter,Noise measurement,Computer science,Fuzzy logic,Image processing,Salt-and-pepper noise,Electronic engineering,Fuzzy set,Artificial intelligence,Filter design | Journal |
Volume | Issue | ISSN |
54 | 4 | 0098-3063 |
Citations | PageRank | References |
28 | 1.24 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kenny Kal Vin Toh | 1 | 105 | 4.57 |
| Haidi Ibrahim | 2 | 115 | 8.83 |
| Muhammad Nasiruddin Mahyuddin | 3 | 38 | 2.17 |