Fast Local Laplacian Filters
- 23 September 2014
- journal article
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Graphics
- Vol. 33 (5), 1-14
- https://doi.org/10.1145/2629645
Abstract
International audienceMulti-scale manipulations are central to image editing but they are 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 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 on gray-scale images that yields speed-ups on the order of 50×. 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 transferKeywords
This publication has 34 references indexed in Scilit:
- Domain transform for edge-aware image and video processingACM Transactions on Graphics, 2011
- Local Laplacian filtersACM Transactions on Graphics, 2011
- Multi-scale image harmonizationACM Transactions on Graphics, 2010
- Smoothed local histogram filtersACM Transactions on Graphics, 2010
- Edge-preserving multiscale image decomposition based on local extremaACM Transactions on Graphics, 2009
- Edge-avoiding wavelets and their applicationsACM Transactions on Graphics, 2009
- Real-time edge-aware image processing with the bilateral gridACM Transactions on Graphics, 2007
- Multiscale shape and detail enhancement from multi-light image collectionsACM Transactions on Graphics, 2007
- A common framework for nonlinear diffusion, adaptive smoothing, bilateral filtering and mean shiftImage and Vision Computing, 2004
- Fast bilateral filtering for the display of high-dynamic-range imagesACM Transactions on Graphics, 2002