Foggy Scene Rendering Based on Transmission Map Estimation
Realistic rendering of foggy scene is important in game development and virtual reality. Traditional methods have many parameters to control or require a long time to compute, and they are usually limited to depicting a homogeneous fog without considering the foggy scene with heterogeneous fog. In t...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | International Journal of Computer Games Technology |
| Online Access: | http://dx.doi.org/10.1155/2014/308629 |
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| _version_ | 1849410329745817600 |
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| author | Fan Guo Jin Tang Xiaoming Xiao |
| author_facet | Fan Guo Jin Tang Xiaoming Xiao |
| author_sort | Fan Guo |
| collection | DOAJ |
| description | Realistic rendering of foggy scene is important in game development and virtual reality. Traditional methods have many parameters to control or require a long time to compute, and they are usually limited to depicting a homogeneous fog without considering the foggy scene with heterogeneous fog. In this paper, a new rendering method based on transmission map estimation is proposed. We first generate perlin noise image as the density distribution texture of heterogeneous fog. Then we estimate the transmission map using the Markov random field (MRF) model and the bilateral filter. Finally, virtual foggy scene is realistically rendered with the generated perlin noise image and the transmission map according to the atmospheric scattering model. Experimental results show that the rendered results of our approach are quite satisfactory. |
| format | Article |
| id | doaj-art-80c3be4715ea4a1992417fc104bf8593 |
| institution | Kabale University |
| issn | 1687-7047 1687-7055 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Computer Games Technology |
| spelling | doaj-art-80c3be4715ea4a1992417fc104bf85932025-08-20T03:35:08ZengWileyInternational Journal of Computer Games Technology1687-70471687-70552014-01-01201410.1155/2014/308629308629Foggy Scene Rendering Based on Transmission Map EstimationFan Guo0Jin Tang1Xiaoming Xiao2School of Information Science and Engineering, Central South University, Changsha, Hunan 410083, ChinaSchool of Information Science and Engineering, Central South University, Changsha, Hunan 410083, ChinaSchool of Information Science and Engineering, Central South University, Changsha, Hunan 410083, ChinaRealistic rendering of foggy scene is important in game development and virtual reality. Traditional methods have many parameters to control or require a long time to compute, and they are usually limited to depicting a homogeneous fog without considering the foggy scene with heterogeneous fog. In this paper, a new rendering method based on transmission map estimation is proposed. We first generate perlin noise image as the density distribution texture of heterogeneous fog. Then we estimate the transmission map using the Markov random field (MRF) model and the bilateral filter. Finally, virtual foggy scene is realistically rendered with the generated perlin noise image and the transmission map according to the atmospheric scattering model. Experimental results show that the rendered results of our approach are quite satisfactory.http://dx.doi.org/10.1155/2014/308629 |
| spellingShingle | Fan Guo Jin Tang Xiaoming Xiao Foggy Scene Rendering Based on Transmission Map Estimation International Journal of Computer Games Technology |
| title | Foggy Scene Rendering Based on Transmission Map Estimation |
| title_full | Foggy Scene Rendering Based on Transmission Map Estimation |
| title_fullStr | Foggy Scene Rendering Based on Transmission Map Estimation |
| title_full_unstemmed | Foggy Scene Rendering Based on Transmission Map Estimation |
| title_short | Foggy Scene Rendering Based on Transmission Map Estimation |
| title_sort | foggy scene rendering based on transmission map estimation |
| url | http://dx.doi.org/10.1155/2014/308629 |
| work_keys_str_mv | AT fanguo foggyscenerenderingbasedontransmissionmapestimation AT jintang foggyscenerenderingbasedontransmissionmapestimation AT xiaomingxiao foggyscenerenderingbasedontransmissionmapestimation |