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Image Dehazing Based on Haziness Analysis
| Content Provider | Paperity |
|---|---|
| Author | Guo, Fan Tang, Jin Cai, Zi-xing |
| Abstract | We present two haze removal algorithms for single image based on haziness analysis. One algorithm regards haze as the veil layer, and the other takes haze as the transmission. The former uses the illumination component image obtained by retinex algorithm and the depth information of the original image to remove the veil layer. The latter employs guided filter to obtain the refined haze transmission and separates it from the original image. The main advantages of the proposed methods are that no user interaction is needed and the computing speed is relatively fast. A comparative study and quantitative evaluation with some main existing algorithms demonstrate that similar even better quality results can be obtained by the proposed methods. On the top of haze removal, several applications of the haze transmission including image refocusing, haze simulation, relighting and 2-dimensional (2D) to 3-dimensional (3D) stereoscopic conversion are also implemented. |
| Starting Page | 78 |
| Ending Page | 86 |
| File Format | HTM / HTML |
| ISSN | 14768186 |
| DOI | 10.1007/s11633-014-0768-7 |
| Issue Number | 1 |
| Journal | International Journal of Automation and Computing |
| Volume Number | 11 |
| e-ISSN | 17518520 |
| Language | English |
| Publisher | Institute of Automation, Chinese Academy of Sciences |
| Publisher Date | 2015-03-12 |
| Access Restriction | Open |
| Subject Keyword | Veil layer Haze image model Image dehazing Haziness analysis Retinex theory Haze transmission |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Control and Systems Engineering Modeling and Simulation Computer Science Applications |
