Layered Reconstruction for Defocus and Motion Blur
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4655946
- author
- Munkberg, Jacob ; Vaidyanathan, Karthik ; Hasselgren, Jon ; Clarberg, Petrik and Akenine-Möller, Tomas LU
- organization
- publishing date
- 2014
- 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
- 2016-04-01 10:29:41
- date last changed
- 2022-03-12 06:24:49
@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}},
doi = {{10.1111/cgf.12415}},
volume = {{33}},
year = {{2014}},
}