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Fast and Robust Pyramid-based Image Processing

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dc.contributor.advisor Frédo Durand
dc.contributor.author Paris, Sylvain en_US
dc.contributor.author Hasinoff, Samuel W. en_US
dc.contributor.author Kautz, Jan en_US
dc.contributor.author Aubry, Mathieu
dc.contributor.author Durand, Frédo
dc.contributor.other Computer Graphics en
dc.date.accessioned 2011-11-15T16:30:09Z
dc.date.available 2011-11-15T16:30:09Z
dc.date.issued 2011-11-15
dc.identifier.uri http://hdl.handle.net/1721.1/67030
dc.description.abstract Multi-scale manipulations are central to image editing but they are also prone to halos. Achieving artifact-free results requires sophisticated edgeaware 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 paper, 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 that yields speed-ups on the order of 50x. 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. en_US
dc.format.extent 11 p. en_US
dc.relation.ispartofseries MIT-CSAIL-TR-2011-049
dc.subject Computational photography, photoediting, image processing, Laplacian pyramid, bilateral filter, photographic style transfer en_US
dc.title Fast and Robust Pyramid-based Image Processing en_US
dc.language.rfc3066 en-US
dspace.orderedauthors Aubry, Mathieu; Paris, Sylvain; Hasinoff, Samuel W.; Kautz, Jan; Durand, Frédo


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