Name
Abstract | ||
|---|---|---|
This paper presents a new fuzzy-logic-control based filter with the ability to remove impulsive noise and smooth Gaussian noise, while, simultaneously, preserving edges and image details efficiently. To achieve these three image enhancement goals, we first develop filters that have excellent edge-preserving capability but do not perform well in smoothing Gaussian noise. Next, we modify the filters so that they perform all three image enhancement tasks. These filters are based on the idea that individual pixels should not be uniformly fired by each of the fuzzy rules. To demonstrate the capability of our filtering approach, it was tested on several different image enhancement problems. These experimental results demonstrate the speed, filtering quality, and image sharpening ability of the new filter. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/3477.826951 | IEEE Transactions on Systems, Man, and Cybernetics, Part B |
Keywords | Field | DocType |
impulsive noise,filtering quality,image enhancement task,fuzzy-logic-control based filter,excellent edge-preserving capability,impulse noise,image enhancement goal,fuzzy logic filter,edge-preserving capability,new fuzzy logic filter,new filter,fuzzy logic,different image enhancement problem,smooth gaussian noise,image detail,new fuzzy-logic-control,smoothing gaussian noise,image enhancement,image details,gaussian noise,image sharpening ability,image processing,pixel,indexing terms,edge enhancement,testing | Computer vision,Median filter,Computer science,Non-local means,Filter (signal processing),Image processing,Smoothing,Impulse noise,Artificial intelligence,Gaussian noise,Machine learning,Edge enhancement | Journal |
Volume | Issue | ISSN |
30 | 1 | 1083-4419 |
Citations | PageRank | References |
27 | 1.42 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Farzam Farbiz | 1 | 475 | 52.46 |
| M. B. Menhaj | 2 | 48 | 5.50 |
| S A Motamedi | 3 | 27 | 1.42 |
| M T Hagan | 4 | 27 | 1.42 |