Viewing Scenes Occluded by Smoke

  • Arturo Donate
  • Eraldo Ribeiro
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4292)


In this paper, we focus on the problem of reconstructing images of scenes occluded by thick smoke. We propose a simple and effective algorithm that creates a single clear image of the scene given only a video sequence as input. Our method is based on two key observations. First, an increase in smoke density induces a decrease in both image contrast and color saturation. Measuring the decay of the high-frequency content in each video frame provides an effective way of quantifying the amount of contrast reduction. Secondly, the dynamic nature of the smoke causes the scene to be partially visible at times. By dividing the video sequence into subregions, our method is able to select the subregion-frame containing the least amount of smoke occlusion over time. Current experiments on different data sets show very promising results.


Video Sequence Video Frame Satellite Imagery Color Saturation Static Scene 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Arturo Donate
    • 1
  • Eraldo Ribeiro
    • 1
  1. 1.Department of Computer SciencesFlorida Institute of TechnologyMelbourneUSA

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