Carnegie Mellon University
Contrast Restoration of Weather Degraded Images

Srinivasa G. Narasimhan and Shree K. Nayar
IEEE PAMI, Vol. 25, No. 6, pp. 713 - 724, June, 2003.

  • Adobe portable document format (pdf) (3MB)
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Images of outdoor scenes captured in bad weather suffer from poor contrast. Under bad weather conditions, the light reaching a camera is severely scattered by the atmosphere. The resulting decay in contrast varies across the scene and is exponential in the depths of scene points. Therefore, traditional space invariant image processing techniques are not sufficient to remove weather effects from images. In this paper, we present a physics-based model that describes the appearances of scenes in uniform bad weather conditions. Changes in intensities of scene points under different weather conditions provide simple constraints to detect depth discontinuities in the scene and also to compute scene structure. Then, a fast algorithm to restore scene contrast is presented. In contrast to previous techniques, our weather removal algorithm does not require any a priori scene structure, distributions of scene reflectances, or detailed knowledge about the particular weather condition. All the methods described in this paper are effective under a wide range of weather conditions including haze, mist, fog, and conditions arising due to other aerosols. Further, our methods can be applied to gray scale, RGB color, multispectral and even IR images. We also extend our techniques to restore contrast of scenes with moving objects, captured using a video camera.

Physics-based vision, atmosphere, bad weather, fog, haze, visibility, scattering, attenuation, airlight, overcast sky,scene structure, defog, dehaze, contrast restoration, shape from X, shape from weather, scene reconstruction

Associated Center(s) / Consortia: Vision and Autonomous Systems Center
Associated Lab(s) / Group(s): Illumination and Imaging Lab
Number of pages: 12

Text Reference
Srinivasa G. Narasimhan and Shree K. Nayar, "Contrast Restoration of Weather Degraded Images," IEEE PAMI, Vol. 25, No. 6, pp. 713 - 724, June, 2003.

BibTeX Reference
   author = "Srinivasa G Narasimhan and Shree K. Nayar",
   title = "Contrast Restoration of Weather Degraded Images",
   journal = "IEEE PAMI",
   pages = "713 - 724",
   month = "June",
   year = "2003",
   volume = "25",
   number = "6",