1 / 15

Visibility in Bad Weather from a Single Image

Visibility in Bad Weather from a Single Image. Robby T. Tan Imperial College London CVPR. 2008. Outline . Introduce Model Algorithm Result Future work and conclusion. x is the 2D spatial location. L∞ is the atmospheric light. ρ is the reflectance of an object in the image .

etoile
Download Presentation

Visibility in Bad Weather from a Single Image

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Visibility in Bad Weather from a Single Image Robby T. Tan Imperial College London CVPR. 2008

  2. Outline • Introduce • Model • Algorithm • Result • Future work and conclusion

  3. x is the 2D spatial location. • L∞ is the atmospheric light. • ρ is the reflectance of an object in the image. • β is the atmospheric attenuation coefficient. • d is the distance between an object in the image and the observer.

  4. Define image chromaticityAssume distant (d = ∞) , since e^-βd = 0 , light chromaticityAssume no effect of scattering particles e^-βd = 1 , object chromaticity

  5. By utilizing the light chromaticity (α) we can transform the color of the atmospheric light of the input image into white color • Color vectors：

  6. Maximizing contrast

  7. AirlightSmoothness Constraint • Data term • Smooth term

  8. Algorithm

  9. Future work and conclusion • 失真情形

More Related