Layered Reconstruction for Defocus and Motion Blur

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 e...

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Vydáno v:Computer graphics forum Ročník 33; číslo 4; s. 81 - 92
Hlavní autoři: Munkberg, Jacob, Vaidyanathan, Karthik, Hasselgren, Jon, Clarberg, Petrik, Akenine-Möller, Tomas
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Blackwell Publishing Ltd 01.07.2014
Témata:
Algorithms
Analysis
Approximation
Cameras
Categories and Subject Descriptors (according to ACM CCS)
Computer and Information Sciences
Computer graphics
Computer Sciences
Data- och informationsvetenskap (Datateknik)
Datavetenskap (Datalogi)
Electrons
I.3.3 [Computer Graphics]: Three-Dimensional Graphics and Realism-Display Algorithms
Image reconstruction
Multimedia computer applications
Natural Sciences
Naturvetenskap
Post-processing
Real time
Reconstruction
Rendering
Studies
ISSN:0167-7055, 1467-8659, 1467-8659
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Popis
Shrnutí: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.
Bibliografie:ark:/67375/WNG-N5TX7X33-R
istex:CD96C1DA664D22F0BEF9B47782B3E61C8A2AC08C
Supporting Information
ArticleID:CGF12415
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-2
content type line 23
ISSN:0167-7055
1467-8659
1467-8659
DOI:10.1111/cgf.12415