Name
Abstract | ||
|---|---|---|
In this paper, we propose a video haze removal system that can be used to assist vehicle drivers and autonomous vehicles in hazy weather conditions. Our design objectives are to provide a high-speed system with high perceived resolution that can be integrated in vehicle dashboard. We achieved these objectives by targeting TMS320DM6446 platform, where we propose a distribution of the tasks of the algorithm among the heterogeneous processor cores: ARM, DSP, and VICP. We use the dark channel prior for haze removal applied to video and propose to modify it to operate on lower-scale resolution to save computational time without scarifying quality by a careful signal processing view of the algorithm. We implemented the system and were able to achieve 3 frames per second for full D1 (720x480) resolution. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP) | real-time video processing, multi-core embedded system, DaVinci DM6446, haze removal, dark channel prior |
Field | DocType | Citations |
Signal processing,Digital signal processing,Computer science,Communication channel,Real-time computing,Frame rate,Multi-core processor,Codec,Haze,Design objective | Conference | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mostafa M. El-Hashash | 1 | 0 | 0.34 |
| Hussein A. Aly | 2 | 3 | 2.43 |
| Tarek A. Mahmoud | 3 | 0 | 0.34 |
| W. Swelam | 4 | 0 | 0.34 |