High dynamic range image hallucination

  • Authors:
  • Lvdi Wang;Li-Yi Wei;Kun Zhou;Baining Guo;Heung-Yeung Shum

  • Affiliations:
  • Microsoft Research Asia and Tsinghua University;Microsoft Research Asia;Microsoft Research Asia;Microsoft Research Asia;Microsoft Research Asia

  • Venue:
  • EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
  • Year:
  • 2007

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Abstract

We introduce high dynamic range image hallucination for adding high dynamic range details to the over-exposed and under-exposed regions of a low dynamic range image. Our method is based on a simple assumption: there exist high quality patches in the image with similar textures as the regions that are over or under exposed. Hence, we can add high dynamic range details to a region by simply transferring texture details from another patch that may be under different illumination levels. In our approach, a user only needs to annotate the image with a few strokes to indicate textures that can be applied to the corresponding under-exposed or over-exposed regions, and these regions are automatically hallucinated by our algorithm. Experiments demonstrate that our simple, yet effective approach is able to significantly increase the amount of texture details in a wide range of common scenarios, with a modest amount of user interaction.