Fast Local Laplacian Filters: Theory and Applications
Name
Aubry14tog.pdf
Description
Accepted version
Size
15.91 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Aubry, Mathieu
Paris, Sylvain
Hasinoff, Samuel W
Kautz, Jan
Durand, Frédo
Date Issued
2014
Journal
ACM Transactions on Graphics
Publisher
Association for Computing Machinery (ACM)
Citation
Aubry, Mathieu, et al. "Fast Local Laplacian Filters: Theory and Applications." Acm Transactions on Graphics 33 5 (2014).
Version
Author's final manuscript
Abstract
©2014 ACM. Multiscale manipulations are central to image editing but also prone to halos. Achieving artifact-free results requires sophisticated edge-aware techniques and careful parameter tuning. These shortcomings were recently addressed by the local Laplacian filters, which can achieve a broad range of effects using standard Laplacian pyramids. However, these filters are slow to evaluate and their relationship to other approaches is unclear. In this article, we show that they are closely related to anisotropic diffusion and to bilateral filtering. Our study also leads to a variant of the bilateral filter that produces cleaner edges while retaining its speed. Building upon this result, we describe an acceleration scheme for local Laplacian filters on gray-scale images that yields speedups on the order of 50 x. Finally, we demonstrate how to use local Laplacian filters to alter the distribution of gradients in an image. We illustrate this property with a robust algorithm for photographic style transfer.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2629645
