Name
Abstract | ||
|---|---|---|
With limited dynamic range, images acquired by ordinary image sensors can not cover all information of the given scenario. In order to acquire a high dynamic range picture which contains both light parts and dark parts, this article presents one method improving dynamic range of images from given scenes by using double exposure. The principle of this algorithm goes as follows: one scene is confronted with two exposures by the same sensor, then image data got from exposure will be used for image fusion to enlarge the dynamic range. As to over-exposure and under-exposure in images, the algorithm enhances the contrast between them and displays both of them. This algorithm can work in a fast speed within 23 ms to fuse two 512*512 images, and can work in high dynamic range circumstances, which means it can adjust essential values according to different scenes to achieve a better fusion. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1117/12.2030881 | Proceedings of SPIE |
Keywords | Field | DocType |
High dynamic range,double exposure,fusion algorithm,speed | Computer vision,Dynamic range,Image fusion,Image sensor,Computer science,Fusion,Image fusion algorithm,Tone mapping,Artificial intelligence,Fuse (electrical),High dynamic range | Conference |
Volume | Issue | ISSN |
8878 | null | 0277-786X |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huang Sijie | 1 | 0 | 0.34 |
| Gong Xueyi | 2 | 0 | 0.34 |
| Fansheng Chen | 3 | 0 | 0.34 |