Contrast restoration of weather degraded images

Columbia University

Indexed incrossref

Abstract

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. 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…

Citation impact

1,613
total citations
FWCI
4.58
Percentile
100%
References
42
Citations per year

Authors

2

Topics & keywords

Keywords
  • Haze
  • Artificial intelligence
  • Computer science
  • Computer vision
  • Contrast (vision)
  • A priori and a posteriori
  • Classification of discontinuities
  • Remote sensing
UN Sustainable Development Goals
  • Sustainable cities and communities
No related works found for this paper.