Layered Reconstruction for Defocus and Motion Blur
dc.contributor.author | Munkberg, Jacob | en_US |
dc.contributor.author | Vaidyanathan, Karthik | en_US |
dc.contributor.author | Hasselgren, Jon | en_US |
dc.contributor.author | Clarberg, Petrik | en_US |
dc.contributor.author | Akenine-Möller, Tomas | en_US |
dc.contributor.editor | Wojciech Jarosz and Pieter Peers | en_US |
dc.date.accessioned | 2015-03-03T12:39:14Z | |
dc.date.available | 2015-03-03T12:39:14Z | |
dc.date.issued | 2014 | en_US |
dc.description.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. | en_US |
dc.description.seriesinformation | Computer Graphics Forum | en_US |
dc.identifier.doi | 10.1111/cgf.12415 | en_US |
dc.identifier.issn | 1467-8659 | en_US |
dc.identifier.uri | https://doi.org/10.1111/cgf.12415 | en_US |
dc.publisher | The Eurographics Association and John Wiley and Sons Ltd. | en_US |
dc.title | Layered Reconstruction for Defocus and Motion Blur | en_US |