Image Fusion for Context Enhancement and Video Surrealism
Author(s): Ramesh Raskar, Andrian Ilie, Jingyi Yu.
Proceedings: 3rd International Symposium on Non-Photorealistic Animation and Rendering (NPAR'04),
2004.
[BibTeX]
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.