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Layered Reconstruction for Defocus and Motion Blur

Munkberg, Jacob; Vaidyanathan, Karthik; Hasselgren, Jon; Clarberg, Petrik and Akenine-Möller, Tomas LU (2014) In Computer Graphics Forum 33(4). p.81-92
Abstract
Light field reconstruction algorithms can substantially decrease the noise in stochastically rendered images. Recent algorithms for defocus blur alone are both fast and accurate. However, motion blur is a considerably more complex type of camera effect, and as a consequence, current algorithms are either slow or too imprecise to use in high quality rendering. We extend previous work on real-time light field reconstruction for defocus blur to handle the case of simultaneous defocus and motion blur. By carefully introducing a few approximations, we derive a very efficient sheared reconstruction filter, which produces high quality images even for a low number of input samples. Our algorithm is temporally robust, and is about two orders of... (More)
Light field reconstruction algorithms can substantially decrease the noise in stochastically rendered images. Recent algorithms for defocus blur alone are both fast and accurate. However, motion blur is a considerably more complex type of camera effect, and as a consequence, current algorithms are either slow or too imprecise to use in high quality rendering. We extend previous work on real-time light field reconstruction for defocus blur to handle the case of simultaneous defocus and motion blur. By carefully introducing a few approximations, we derive a very efficient sheared reconstruction filter, which produces high quality images even for a low number of input samples. Our algorithm is temporally robust, and is about two orders of magnitude faster than previous work, making it suitable for both real-time rendering and as a post-processing pass for offline rendering. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Computer Graphics Forum
volume
33
issue
4
pages
81 - 92
publisher
Wiley-Blackwell
external identifiers
  • wos:000340598800009
  • scopus:84904436993
ISSN
1467-8659
DOI
10.1111/cgf.12415
language
English
LU publication?
yes
id
34775f51-cbee-49dd-9cd7-eeca44e63666 (old id 4655946)
date added to LUP
2014-09-24 11:01:42
date last changed
2017-09-17 03:44:34
@article{34775f51-cbee-49dd-9cd7-eeca44e63666,
  abstract     = {Light field reconstruction algorithms can substantially decrease the noise in stochastically rendered images. Recent algorithms for defocus blur alone are both fast and accurate. However, motion blur is a considerably more complex type of camera effect, and as a consequence, current algorithms are either slow or too imprecise to use in high quality rendering. We extend previous work on real-time light field reconstruction for defocus blur to handle the case of simultaneous defocus and motion blur. By carefully introducing a few approximations, we derive a very efficient sheared reconstruction filter, which produces high quality images even for a low number of input samples. Our algorithm is temporally robust, and is about two orders of magnitude faster than previous work, making it suitable for both real-time rendering and as a post-processing pass for offline rendering.},
  author       = {Munkberg, Jacob and Vaidyanathan, Karthik and Hasselgren, Jon and Clarberg, Petrik and Akenine-Möller, Tomas},
  issn         = {1467-8659},
  language     = {eng},
  number       = {4},
  pages        = {81--92},
  publisher    = {Wiley-Blackwell},
  series       = {Computer Graphics Forum},
  title        = {Layered Reconstruction for Defocus and Motion Blur},
  url          = {http://dx.doi.org/10.1111/cgf.12415},
  volume       = {33},
  year         = {2014},
}