Foggy Scene Rendering Based on Transmission Map Estimation

Joint Authors

Guo, Fan
Tang, Jin
Xiao, Xiaoming

Source

International Journal of Computer Games Technology

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-10-16

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Information Technology and Computer Science

Abstract EN

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.

American Psychological Association (APA)

Guo, Fan& Tang, Jin& Xiao, Xiaoming. 2014. Foggy Scene Rendering Based on Transmission Map Estimation. International Journal of Computer Games Technology،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1036366

Modern Language Association (MLA)

Guo, Fan…[et al.]. Foggy Scene Rendering Based on Transmission Map Estimation. International Journal of Computer Games Technology No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1036366

American Medical Association (AMA)

Guo, Fan& Tang, Jin& Xiao, Xiaoming. Foggy Scene Rendering Based on Transmission Map Estimation. International Journal of Computer Games Technology. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1036366

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1036366