Name
Abstract | ||
|---|---|---|
An automatic image restoration method is proposed for text images despite severe occlusion and noise. 3D tensor voting framework is used to analyze surface areas to detect corrupted regions. These corrupted regions are then restored by an adaptive median filter or image completing. The experimental results attained from several text images show that good images can be achieved from degraded ones by using the proposed method. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-10677-4_92 | ICONIP (1) |
Keywords | Field | DocType |
surface area,median filter,image restoration | Computer vision,Median filter,Pattern recognition,Computer science,Tensor voting,Artificial intelligence,Image restoration,Machine learning | Conference |
Volume | ISSN | Citations |
5863 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 12 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Toan Nguyen | 1 | 55 | 15.70 |
| Jong-Hyun Park | 2 | 288 | 37.56 |
| Soo-Hyung Kim | 3 | 191 | 49.03 |
| Hyuk-Ro Park | 4 | 21 | 5.53 |
| Gueesang Lee | 5 | 208 | 52.71 |