Layered Reconstruction for Defocus and Motion Blur

@article{Munkberg2014LayeredRF,
  title={Layered Reconstruction for Defocus and Motion Blur},
  author={Jacob Munkberg and Karthikeyan Vaidyanathan and Jon Hasselgren and Petrik Clarberg and Tomas Akenine-M{\"o}ller},
  journal={Comput. Graph. Forum},
  year={2014},
  volume={33},
  pages={81-92}
}
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… CONTINUE READING
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