UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Laplacian kernel splatting for efficient depth-of-field and motion blur synthesis or reconstruction

Leimkühler, T; Seidel, H-P; Ritschel, T; (2018) Laplacian kernel splatting for efficient depth-of-field and motion blur synthesis or reconstruction. ACM Transactions on Graphics , 37 (4) , Article 55. 10.1145/3197517.3201379. Green open access

[thumbnail of laplacian_splatting.pdf]
Preview
Text
laplacian_splatting.pdf - Accepted Version

Download (8MB) | Preview

Abstract

Simulating combinations of depth-of-field and motion blur is an important factor to cinematic quality in synthetic images but can take long to compute. Splatting the point-spread function (PSF) of every pixel is general and provides high quality, but requires prohibitive compute time. We accelerate this in two steps: In a pre-process we optimize for sparse representations of the Laplacian of all possible PSFs that we call spreadlets. At runtime, spreadlets can be splat efficiently to the Laplacian of an image. Integrating this image produces the final result. Our approach scales faithfully to strong motion and large out-of-focus areas and compares favorably in speed and quality with off-line and interactive approaches. It is applicable to both synthesizing from pinhole as well as reconstructing from stochastic images, with or without layering.

Type: Article
Title: Laplacian kernel splatting for efficient depth-of-field and motion blur synthesis or reconstruction
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3197517.3201379
Publisher version: https://doi.org/10.1145/3197517.3201379
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10051088
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item