Name
Title | ||
|---|---|---|
Automatic Correction of Saturated Regions in Photographs using Cross-Channel Correlation |
Abstract | ||
|---|---|---|
Incorrectly setting the camera's exposure can have a significant negative effect on a photograph. Over-exposing photographs causes pixels to exhibit unpleasant artifacts due to saturation of the sensor Saturation removal typically involves user intervention to adjust the color values, which is tedious and time-consuming. This paper discusses how saturation can be automatically removed without compromising the essential details of the image. Our method is based on a smoothness prior: neighboring pixels have similar channel ratios and color values. We demonstrate that high quality saturation-free photos can be obtained from a simple but effective approach. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1111/j.1467-8659.2009.01564.x | COMPUTER GRAPHICS FORUM |
Field | DocType | Volume |
Computer vision,Saturation (chemistry),Computer graphics (images),Computer science,Communication channel,Cross channel,Correlation,Artificial intelligence,Pixel,Smoothness | Journal | 28.0 |
Issue | ISSN | Citations |
SP7.0 | 0167-7055 | 10 |
PageRank | References | Authors |
0.72 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Syed Z. Masood | 1 | 61 | 2.55 |
| Jiejie Zhu | 2 | 378 | 21.71 |
| Marshall F. Tappen | 3 | 1901 | 89.34 |