The Trilateral Filter for High Contrast Images and Meshes
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Date
2003
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We present a new, single-pass nonlinear filter for edge-preserving smoothing and visual detail removal for N dimensional signals in computer graphics, image processing and computer vision applications. Built from two modified forms of Tomasi and Manduchi's bilateral filter, the new "trilateral" filter smoothes signals towards a sharply-bounded, piecewise-linear approximation. Unlike bilateral filters or anisotropic diffusion methods that smooth towards piecewise constant solutions, the trilateral filter provides stronger noise reduction and better outlier rejection in high-gradient regions, and it mimics the edge-limited smoothing behavior of shock-forming PDEs by region finding with a fast min-max stack. Yet the trilateral filter requires only one user-set parameter, filters an input signal in a single pass, and does not use an iterative solver as required by most PDE methods. Like the bilateral filter, the trilateral filter easily extends to N-dimensional signals, yet it also offers better performance for many visual applications including appearance-preserving contrast reduction problems for digital photography and denoising polygonal meshes.
Description
@inproceedings{:10.2312/EGWR/EGWR03/186-196,
booktitle = {Eurographics Workshop on Rendering},
editor = {Philip Dutre and Frank Suykens and Per H. Christensen and Daniel Cohen-Or},
title = {{The Trilateral Filter for High Contrast Images and Meshes}},
author = {Choudhury, Prasun and Tumblin, Jack},
year = {2003},
publisher = {The Eurographics Association},
ISSN = {1727-3463},
ISBN = {3-905673-03-7},
DOI = {/10.2312/EGWR/EGWR03/186-196}
}