Abstract
Bilateral filtering smooths images while preserving edges, by means of a nonlinear combination of nearby image values. The method is noniterative, local, and simple. It combines gray levels or colors based on both their geometric closeness and their photometric similarity, and prefers near values to distant values in both domain and range. In contrast with filters that operate on the three bands of a color image separately, a bilateral filter can enforce the perceptual metric underlying the CIE-Lab color space, and smooth colors and preserve edges in a way that is tuned to human perception. Also, in contrast with standard filtering, bilateral filtering produces no phantom colors along edges in color images, and reduces phantom colors where they appear in the original image.
Keywords
Artificial intelligenceComputer visionColor spaceColor imageContrast (vision)Bilateral filterComputer scienceFilter (signal processing)MathematicsColor gelColor quantizationPattern recognition (psychology)Image (mathematics)Image processingPhysics
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Publication Info
- Year
- 2002
- Type
- article
- Pages
- 839-846
- Citations
- 7941
- Access
- Closed
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Cite This
Carlo Tomasi,
Roberto Manduchi
(2002).
Bilateral filtering for gray and color images.
, 839-846.
https://doi.org/10.1109/iccv.1998.710815
Identifiers
- DOI
- 10.1109/iccv.1998.710815