Name
Abstract | ||
|---|---|---|
An innovative solution for automatic color rendition of natural digital images is presented. It is based on an adaptive color correction, driven by a natural scene classifier designed over a wide database of natural digital images used as reference. The perceived quality of the processed images is globally closer to the expected color rendition for a great part of observers, without evident artifacts. A visual comparison with two wide diffused automatic and semi-automatic color enhancement tools is also presented. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/TCE.2005.1405725 | IEEE Trans. Consumer Electronics |
Keywords | Field | DocType |
Layout,Image classification,Digital images,Image databases,Statistics,Image analysis,Image segmentation,Image color analysis,Visual databases,Digital cameras | Computer vision,Color histogram,Computer science,Demosaicing,Color balance,Color correction,Artificial intelligence,RGB color model,False color,Color quantization,Color image | Journal |
Volume | Issue | ISSN |
51 | 1 | 0098-3063 |
Citations | PageRank | References |
10 | 0.81 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| F. Naccari | 1 | 10 | 0.81 |
| S. Battiato | 2 | 325 | 23.99 |
| A. Bruna | 3 | 98 | 6.97 |
| Alessandro Capra | 4 | 45 | 5.61 |
| Alfio Castorina | 5 | 200 | 15.03 |