Fast and Robust Pyramid-based Image Processing

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 rang...

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Main Authors: Aubry, Mathieu, Durand, Frédo, Paris, Sylvain, Hasinoff, Samuel W., Kautz, Jan
Other Authors: Frédo Durand
Language:en-US
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/1721.1/67030
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author Aubry, Mathieu
Durand, Frédo
Paris, Sylvain
Hasinoff, Samuel W.
Kautz, Jan
author2 Frédo Durand
author_facet Frédo Durand
Aubry, Mathieu
Durand, Frédo
Paris, Sylvain
Hasinoff, Samuel W.
Kautz, Jan
author_sort Aubry, Mathieu
collection MIT
description 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.
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spelling mit-1721.1/670302019-04-12T20:59:35Z Fast and Robust Pyramid-based Image Processing Aubry, Mathieu Durand, Frédo Paris, Sylvain Hasinoff, Samuel W. Kautz, Jan Frédo Durand Computer Graphics Computational photography, photoediting, image processing, Laplacian pyramid, bilateral filter, photographic style transfer 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. 2011-11-15T16:30:09Z 2011-11-15T16:30:09Z 2011-11-15 http://hdl.handle.net/1721.1/67030 en-US MIT-CSAIL-TR-2011-049 11 p. application/pdf
spellingShingle Computational photography, photoediting, image processing, Laplacian pyramid, bilateral filter, photographic style transfer
Aubry, Mathieu
Durand, Frédo
Paris, Sylvain
Hasinoff, Samuel W.
Kautz, Jan
Fast and Robust Pyramid-based Image Processing
title Fast and Robust Pyramid-based Image Processing
title_full Fast and Robust Pyramid-based Image Processing
title_fullStr Fast and Robust Pyramid-based Image Processing
title_full_unstemmed Fast and Robust Pyramid-based Image Processing
title_short Fast and Robust Pyramid-based Image Processing
title_sort fast and robust pyramid based image processing
topic Computational photography, photoediting, image processing, Laplacian pyramid, bilateral filter, photographic style transfer
url http://hdl.handle.net/1721.1/67030
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