Name
Abstract | ||
|---|---|---|
In this paper we provide a new filtering scheme for the detection and the removal of impulsive noise in digital color images. The proposed adaptive nonlinear vector filters take the advantages of the robust order-statistic theory, generalized directional distance filter and standard sigma filter concept. The principles of the design are explained in detail. Simulation studies indicate that the proposed method is computationally attractive and is able to achieve excellent balance between the image-detail preservation and the noise attenuation. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICME.2003.1220973 | Multimedia and Expo, 2003. ICME '03. Proceedings. 2003 International Conference |
Keywords | Field | DocType |
adaptive filters,filtering theory,image colour analysis,image denoising,impulse noise,nonlinear filters,statistical analysis,adaptive nonlinear vector filters,digital color images,directional distance filter,filtering scheme,image-detail preservation,impulsive noise,noise attenuation,robust order-statistic theory,sigma filter | Computer vision,Median filter,Control theory,Computer science,Prototype filter,Salt-and-pepper noise,Filter (signal processing),Composite image filter,Artificial intelligence,Adaptive filter,Nonlinear filter,Gaussian noise | Conference |
Volume | ISBN | Citations |
1 | 0-7803-7965-9 | 10 |
PageRank | References | Authors |
0.65 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| R. Lukac | 1 | 440 | 26.51 |
| B. Smolka | 2 | 297 | 14.67 |
| Plataniotis, K.N. | 3 | 461 | 41.02 |
| Anastasios N. Venetsanopoulos | 4 | 1104 | 123.13 |