Name
Abstract | ||
|---|---|---|
Photographing people in a dark room with a compact camera using a flash often results in redeye. By scanning a photo effected by redeye into the computer, it is possible to digitally process the photo to correct redeye. We describe a process to automatically correct redeye with minimal user intervention. The redeye reduction process consists of three main blocks: create mask, pupil location, and replace color. The create mask block performs a segmentation of the data based on color information, and outputs a binary mask indicating the possible locations of redeye. The pupil location block processes the binary mask to determine a circular eye region. The replace color block changes the color of the circular eye region with some boundary adjustments. We have successfully tested this redeye reduction method on a large number of images. The algorithm is very user friendly and robust |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/ICIP.1998.998996 | Chicago, IL |
Keywords | Field | DocType |
colour photography,image colour analysis,image recognition,image segmentation,automatic digital redeye reduction,circular eye region,color,mask,people,photo,photograph,pupil location,reduction process,segmentation | Computer vision,Pattern recognition,Computer science,Segmentation,Automatic testing,Image segmentation,Pixel,Artificial intelligence,User Friendly,Binary number | Conference |
ISBN | Citations | PageRank |
0-8186-8821-1 | 6 | 1.13 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrew J. Patti | 1 | 6 | 1.13 |
| Konstantinos Konstantinides | 2 | 6 | 1.13 |
| Daniel Tretter | 3 | 141 | 12.85 |
| Qian Lin | 4 | 88 | 10.97 |