Fast and Robust Pyramid-based Image Processing
Name
MIT-CSAIL-TR-2011-049.pdf
Size
23.13 MB
Format
Adobe PDF
Checksum (MD5)
5685a68d396766e10a2435fc833e8b5e
Author(s)
Aubry, Mathieu
Paris, Sylvain
Hasinoff, Samuel W.
Kautz, Jan
Durand, Frédo
Advisor(s)
Frédo Durand
Date Issued
November 15, 2011
Series/Report no.
MIT-CSAIL-TR-2011-049
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.
Subjects
Computational photography, photoediting, image processing, Laplacian pyramid, bilateral filter, photographic style transfer
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