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[RIY+04]  Image Fusion for Context Enhancement and Video Surrealism

Raskar:2004:IFC (In proceedings)
Author(s)Raskar R., Ilie A. and Yu J.
Title« Image Fusion for Context Enhancement and Video Surrealism »
InProceedings of the Third International Symposium on Non-Photorealistic Animation and Rendering (NPAR 2004, Annecy, France, June 7--9, 2004)
Editor(s)Aaron Hertzmann and Craig Kaplan
Page(s)85--94
Year2004
PublisherACM Press
AddressNew York
Editor(s)Aaron Hertzmann and Craig Kaplan

Abstract
We present a class of image fusion techniques to automatically combine images of a scene captured under different illumination. Beyond providing digital tools for artists for creating surrealist images and videos, the methods can also be used for practical applications. For example, the non-realistic appearance can be used to enhance the context of nighttime traffic videos so that they are easier to understand. The context is automatically captured from a fixed camera and inserted from a day-time image (of the same scene). Our approach is based on a gradient domain technique that preserves important local perceptual cues while avoiding traditional problems such as aliasing, ghosting and haloing. We presents several results in generating surrealistic videos and in increasing the information density of low quality nighttime videos.

BibTeX code
@inproceedings{Raskar:2004:IFC,
  optorganization = {},
  author = {Ramesh Raskar and Adrian Ilie and Jingyi Yu},
  optkey = {},
  optseries = {},
  editor = {Aaron Hertzmann and Craig Kaplan},
  localfile = {papers/Raskar.2004.IFC.pdf},
  address = {New York},
  publisher = {ACM Press},
  optmonth = {},
  doi = {http://doi.acm.org/10.1145/987657.987671},
  opturl = {},
  optcrossref = {},
  booktitle = NPAR2004,
  optstatus = {},
  optvolume = {},
  title = {{I}mage {F}usion for {C}ontext {E}nhancement and {V}ideo
           {S}urrealism},
  optnumber = {},
  abstract = {We present a class of image fusion techniques to automatically
              combine images of a scene captured under different illumination.
              Beyond providing digital tools for artists for creating surrealist
              images and videos, the methods can also be used for practical
              applications. For example, the non-realistic appearance can be
              used to enhance the context of nighttime traffic videos so that
              they are easier to understand. The context is automatically
              captured from a fixed camera and inserted from a day-time image
              (of the same scene). Our approach is based on a gradient domain
              technique that preserves important local perceptual cues while
              avoiding traditional problems such as aliasing, ghosting and
              haloing. We presents several results in generating surrealistic
              videos and in increasing the information density of low quality
              nighttime videos.},
  year = {2004},
  pages = {85--94},
}

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