Name
Abstract | ||
|---|---|---|
In this paper, we implemented a video haze removal system that runs in real time and can be integrated in a vehicle dashboard to assist drivers. We used a heterogeneous TI TMS320DM6446 platform to distribute the algorithmic tasks among ARM, DSP, and VICP cores. Our processing algorithm uses the dark channel prior and has been applied to video. It has two algorithmic components which are the operation on multi-scale resolution and a new reconstruction formula for recovering the scene radiance to save computational time without sacrificing quality. We achieved eight frames per second at 720 × 480 video frame resolution. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s11554-016-0603-1 | Journal of Real-time Image Processing |
Keywords | Field | DocType |
Real-time video processing, Multi-core embedded system, DM6446, Haze removal, Dark channel prior | Digital signal processing,Computer graphics (images),Computer science,Real-time computing,Artificial intelligence,Computer vision,Algorithm,Communication channel,Video tracking,Frame rate,Dashboard (business),Radiance,Haze | Journal |
Volume | Issue | ISSN |
16 | 4 | 1861-8219 |
Citations | PageRank | References |
2 | 0.37 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mostafa M. El-Hashash | 1 | 2 | 0.71 |
| Hussein A. Aly | 2 | 3 | 2.43 |