Name
Abstract | ||
|---|---|---|
Red-eye artifact is a well-known problem in digital photography. Since the large diffusion of mobile devices with embedded camera and flashgun, automatic detection and correction of red-eyes have become an important task. In this paper we describe a technique that makes use of three steps to identify and correct red-eyes. First, red-eye candidates are extracted from the input image by using simple color segmentation coupled with geometrical constraints. A set of linear discriminant classifiers is then learned on the clustered patches space, and hence employed to distinguish between eyes and non-eyes patches. The proposed cluster-based Linear Discriminant Analysis is used to deal with the multi-modally nature of the input space. The third step of the pipeline is devoted to artifacts correction through de-saturation and brightness reduction. Experimental results on a large dataset of images demonstrate the effectiveness of the pro- posed pipeline that outperforms other existing solutions in terms of hit rates maximization, false positives reduction and ad-hoc quality measure. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICIP.2010.5649987 | Image Processing |
Keywords | Field | DocType |
cameras,digital photography,image classification,image colour analysis,image segmentation,pattern clustering,ad-hoc quality measure,automatic artifact correction,automatic detection,brightness reduction,cluster based linear discriminant analysis,clustered patches space,color segmentation,digital photography,embedded camera,flashgun,geometrical constraint,mobile devices,red eye artifact,red eye candidates,Linear Discriminant Analysis,Multi-modally Distributed Classes,Red-eyes Detection,Red-eyes Removal | Computer vision,Digital photography,Pattern recognition,Segmentation,Computer science,Image segmentation,Pixel,Artificial intelligence,Linear discriminant analysis,Contextual image classification,Maximization,False positive paradox | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4244-7993-1 | 978-1-4244-7993-1 | 2 |
PageRank | References | Authors |
0.39 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sebastiano Battiato | 1 | 374 | 41.37 |
| Giovanni Maria Farinella | 2 | 41 | 2.49 |
| Guarnera, M. | 3 | 3 | 0.74 |
| Messina, G. | 4 | 159 | 13.42 |