Title | ||
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An Efficient Adaptive Fuzzy Switching Weighted Mean Filter for Salt-and-Pepper Noise Removal. |
Abstract | ||
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An image degraded by noise is a common phenomenon. In this letter, we propose a novel adaptive fuzzy switching weighted mean filter to remove salt-and-pepper (SAP) noise. The process of denoising includes two stages: noise detection and noise elimination. In the first stage, pixels in a corrupted image are classified into two categories: original pixels and possible noise pixels. For the latter, w... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/LSP.2016.2607785 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Switches,Noise reduction,Signal processing algorithms,PSNR,Manganese,Information filters | Noise reduction,Value noise,Computer vision,Pattern recognition,Non-local means,Salt-and-pepper noise,Dark-frame subtraction,Image noise,Artificial intelligence,Bilateral filter,Mathematics,Gradient noise | Journal |
Volume | Issue | ISSN |
23 | 11 | 1070-9908 |
Citations | PageRank | References |
12 | 0.62 | 12 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yi Wang | 1 | 12 | 2.31 |
Jiangyun Wang | 2 | 12 | 0.62 |
Xiao Song | 3 | 16 | 3.55 |
Liang Han | 4 | 20 | 1.83 |