| Paper: | MA-P8.2 |
| Session: | Image and Video Enhancement |
| Time: | Monday, September 17, 09:50 - 12:30 |
| Presentation: |
Poster
|
| Title: |
SKIN-AWARE LOCAL CONTRAST ENHANCEMENT |
| Authors: |
Tarik Arici; Georgia Institute of Technology | | |
| | Salih Dikbas; Georgia Institute of Technology | | |
| Abstract: |
Local contrast enhancement (LCE) gives a more lively look to an image or video. With a larger difference of a pixel's luma value from its local mean, the eye needs less time to adjust to that local region for a better contrast sensitivity. Since the human eye is trained and conditioned to recognize a natural looking face, the faces in a locally enhanced image may look unnatural even though other parts of the enhanced image is visually more attractive than the original image. To solve this problem, a low-complexity skin-aware local contrast enhancement algorithm is proposed. The proposed Skin-Aware Local contraSt enhAncement (SALSA) algorithm avoids creating false edges. Experiment results show that SALSA produces natural looking face and non-facial skin regions in the locally enhanced image. |
