The Trilateral Filter for High Contrast Images and Meshes

dc.contributor.authorChoudhury, Prasunen_US
dc.contributor.authorTumblin, Jacken_US
dc.contributor.editorPhilip Dutre and Frank Suykens and Per H. Christensen and Daniel Cohen-Oren_US
dc.date.accessioned2014-01-27T14:22:48Z
dc.date.available2014-01-27T14:22:48Z
dc.date.issued2003en_US
dc.description.abstractWe 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.en_US
dc.description.seriesinformationEurographics Workshop on Renderingen_US
dc.identifier.isbn3-905673-03-7en_US
dc.identifier.issn1727-3463en_US
dc.identifier.urihttps://doi.org/10.2312/EGWR/EGWR03/186-196en_US
dc.publisherThe Eurographics Associationen_US
dc.titleThe Trilateral Filter for High Contrast Images and Meshesen_US
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