Name
Abstract | ||
|---|---|---|
We have discussed that the co-occurrence frequency image (CFI) defined based on the co-occurrence fre- quency histogram of the gray value of an image has a potential to introduce a new scheme for image feature extraction. This paper proposes a couple of filters for im- age enhancements of such as sharpening and smoothing filters. These filters are very similar to but quite different from those which have been used so far. Thus we could show a possibility for introducing a new paradigm for basic image enhancement filters based on CFI. |
Year | Venue | Keywords |
|---|---|---|
2007 | MVA | image features |
Field | DocType | Citations |
Computer vision,Feature detection (computer vision),Pattern recognition,Non-local means,Image texture,Image quality,Image processing,Feature extraction,Artificial intelligence,Image restoration,Image histogram,Mathematics | Conference | 0 |
PageRank | References | Authors |
0.34 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takayuki Fujiwara | 1 | 51 | 14.13 |
| Kazuhiko Yamaashi | 2 | 0 | 0.34 |
| Hiroyasu Koshimizu | 3 | 100 | 31.83 |