Descattering Transmission via Angular Filtering
- Descattering Transmission via Angular Filtering
- 김재완; Douglas Lanman; Yasuhiro Mukaigawa; Ramesh Raskar
- computational photography; direct transmission; scattered transmission; multiple scattering; image decomposition
- Issue Date
- Lecture notes in computer science
- VOL 6311, 86-99
- We describe a single-shot method to differentiate unscattered
and scattered components of light transmission through a heterogeneous
translucent material. Directly-transmitted components travel in
a straight line from the light source, while scattered components originate
from multiple scattering centers in the volume. Computer vision
methods deal with participating media via 2D contrast enhancing software
techniques. On the other hand, optics techniques treat scattering as
noise and use elaborate methods to reduce the scattering or its impact on
the direct unscattered component. We observe the scattered component
on its own provides useful information because the angular variation is
low frequency. We propose a method to strategically capture angularly
varying scattered light and compute the unscattered direct component.
We capture the scattering from a single light source via a lenslet array
placed close to the image plane. As an application, we demonstrate enhanced
tomographic reconstruction of scattering objects using estimated
direct transmission images.
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