Name
Abstract | ||
|---|---|---|
Dehazing is an important process as it can significantly improve the performance of computer vision applications in outdoor environments. The two main requirements that an online dehazing system demands are low processing time and high visual range. The authors present a novel dehazing algorithm based on colour uniformity principle (CUP) which meets the desired requirements of a realtime implementation. Estimation of atmospheric scattering parameter and transmission map forms the key step in dehazing problem. At first, the authors use CUP to generate the transmission map and refine it further by Fast Guided Filter. They estimate the atmospheric scattering parameter with the help of the estimated transmission map. Experimental results show that the quality of dehazed output, produced in real-time using the proposed method, is comparable with the results achieved by the state of the art techniques. The proposed dehazing method produces reliable dehazed output in varying haze conditions, unlike current methods. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1049/iet-ipr.2018.5240 | IET Image Processing |
Keywords | Field | DocType |
image colour analysis,parameter estimation,image filtering | Computer vision,Diffuse sky radiation,Artificial intelligence,Mathematics,Haze | Journal |
Volume | Issue | ISSN |
13 | 11 | 1751-9659 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Himanshu Kumar | 1 | 27 | 6.10 |
| Sumana Gupta | 2 | 47 | 16.36 |
| Venkatesh K. Subramanian | 3 | 0 | 0.68 |