Name
Title | ||
|---|---|---|
Fuzzy rough sets hybrid scheme for motion and scene complexity adaptive deinterlacing |
Abstract | ||
|---|---|---|
Current research activities in the field of deinterlacing include the selection of suitable deinterlacing methods and the estimation of the exact value of a missing line. This paper proposes a spatio-temporal domain fuzzy rough sets rule for selecting a deinterlacing method that is suitable for regions with high motion or frequent scene changes. The proposed algorithm consists of two parts. The first part is fuzzy rule-based edge-direction detection with an edge preserving part that utilizes fuzzy theory to find the most accurate edge direction and interpolates the missing pixels. Using the introduced gradients in the interpolation, the vertical resolution in the deinterlaced image is subjectively concealed. The second part of the proposed algorithm is a rough sets-assisted optimization which selects the most suitable of five different deinterlacing methods and successively builds approximations of the deinterlaced sequence. Moreover, this approach employs a size reduction of the database system, keeping only the information essential for the process. The proposed algorithm is intended not only to be fast, but also to reduce deinterlacing artifacts. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.imavis.2008.06.001 | Image Vision Comput. |
Keywords | Field | DocType |
deinterlacing artifact,fuzzy theory,accurate edge direction,suitable deinterlacing method,fuzzy rule-based edge-direction detection,fuzzy control,deinterlaced image,deinterlacing method,proposed algorithm,directional interpolation,different deinterlacing method,motion analysis,hybrid scheme,deinterlacing,scene complexity analysis,rough set,fuzzy rough sets rule,scene complexity adaptive deinterlacing,database system | Computer vision,Pattern recognition,Deinterlacing,Fuzzy logic,Interpolation,Rough set,Pixel,Artificial intelligence,Motion analysis,Fuzzy control system,Mathematics,Fuzzy rule | Journal |
Volume | Issue | ISSN |
27 | 4 | Image and Vision Computing |
Citations | PageRank | References |
24 | 0.94 | 42 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gwanggil Jeon | 1 | 596 | 117.99 |
| Marco Anisetti | 2 | 406 | 41.01 |
| Dong-Hyung Kim | 3 | 130 | 14.38 |
| Valerio Bellandi | 4 | 174 | 20.15 |
| Ernesto Damiani | 5 | 3911 | 416.18 |
| Jechang Jeong | 6 | 1002 | 141.22 |