Name
Abstract | ||
|---|---|---|
In this paper, a novel image enhancing approach focuses on single sandstorm image is proposed. The degraded image has some problems, such as color distortion, low-visibility, fuzz and non-uniform luminance, due to the light is absorbed and scattered by particles in sandstorm. The proposed approach based on fusion principles aims to overcome the aforementioned limitations. First, the degraded image is color corrected by adopting a statistical strategy. Then two inputs, which represent different brightness, are derived only from the color corrected image by applying Gamma correction. Three weighted maps (sharpness, chromaticity and prominence), which contain important features to increase the quality of the degraded image, are computed from the derived inputs. Finally, the enhanced image is obtained by fusing the inputs with the weight maps. The proposed method is the first to adopt a fusion-based method for enhancing single sandstorm image. Experimental results show that enhanced results can be improved by color correction, well enhanced details and local contrast while promoted global brightness, increasing the visibility, naturalness preservation. Moreover, the proposed algorithm is mostly calculated by per-pixel operation, which is appropriate for real-time applications. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/MMSP.2014.6958791 | MMSP |
Keywords | Field | DocType |
statistical strategy,image fusion,per-pixel operation,single sandstorm image,prominence map,color correction,fusion principle,brightness,naturalness preservation,degraded image quality,image enhancement,fusion-based enhancing approach,gamma correction,image enhancing approach,chromaticity map,sharpness map,image colour analysis | Computer vision,Image gradient,Image fusion,Pattern recognition,Color histogram,Computer science,Image texture,Binary image,Color balance,Artificial intelligence,Image restoration,Color image | Conference |
ISSN | Citations | PageRank |
2163-3517 | 2 | 0.39 |
References | Authors | |
17 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xueyang Fu | 1 | 354 | 29.09 |
| Yue Huang | 2 | 317 | 29.82 |
| Delu Zeng | 3 | 164 | 11.46 |
| Xiao-ping Zhang | 4 | 951 | 100.51 |
| Xinghao Ding | 5 | 591 | 52.95 |