Layered Reconstruction for Defocus and Motion Blur
Författare
Summary, in English
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.
Avdelning/ar
Publiceringsår
2014
Språk
Engelska
Sidor
81-92
Publikation/Tidskrift/Serie
Computer Graphics Forum
Volym
33
Issue
4
Dokumenttyp
Artikel i tidskrift
Förlag
Wiley-Blackwell
Ämne
- Computer Science
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 1467-8659