Layered Reconstruction for Defocus and Motion Blur

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dc.contributor.authorMunkberg, Jacoben_US
dc.contributor.authorVaidyanathan, Karthiken_US
dc.contributor.authorHasselgren, Jonen_US
dc.contributor.authorClarberg, Petriken_US
dc.contributor.authorAkenine-Möller, Tomasen_US
dc.contributor.editorWojciech Jarosz and Pieter Peersen_US
dc.date.accessioned2015-03-03T12:39:14Z
dc.date.available2015-03-03T12:39:14Z
dc.date.issued2014en_US
dc.description.abstractLight 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.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12415en_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleLayered Reconstruction for Defocus and Motion Bluren_US
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33-Issue 4
EGSR14: 25th Eurographics Symposium on Rendering