Name
Abstract | ||
|---|---|---|
An efficient edge-preserving algorithm for removal of random-valued impulse noise from corrupted images is proposed in this paper. We employ an efficient impulse noise detector to detect the noisy pixels, and an edge-preserving filter to reconstruct the intensity values of noisy pixels. Extensive experimental results show that the proposed technique not only preserves the edge features, but also obtains excellent performances in terms of quantitative evaluation and visual quality. Since our algorithm requires only low computational complexity, it is very suitable to be applied to many real-time applications. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IBICA.2011.8 | IBICA |
Keywords | Field | DocType |
extensive experimental result,efficient denoising approach,random-valued impulse noise,efficient impulse noise detector,efficient edge-preserving algorithm,edge-preserving filter,corrupted image,noisy pixel,proposed technique,intensity value,digital images,edge feature,random processes,noise measurement,noise reduction,noise,detectors,impulse noise,edge detection,image reconstruction,computational complexity,digital image | Noise reduction,Iterative reconstruction,Computer vision,Noise measurement,Pattern recognition,Digital image,Impulse noise,Artificial intelligence,Pixel,Detector,Mathematics,Computational complexity theory | Conference |
Citations | PageRank | References |
1 | 0.35 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chih-Yuan Lien | 1 | 91 | 9.64 |
| Chien-Chuan Huang | 2 | 54 | 4.98 |
| Pei-Yin Chen | 3 | 314 | 38.47 |
| Hung-Yu Yang | 4 | 36 | 4.37 |