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Fast bilateral filtering for the display of high-dynamic-range images

Durand, Frédo, Dorsey, Julie·2002·ACM Transactions on Graphics

Abstract

We present a new technique for the display of high-dynamic-range images, which reduces the contrast while preserving detail. It is based on a two-scale decomposition of the image into a base layer, encoding large-scale variations, and a detail layer. Only the base layer has its contrast reduced, thereby preserving detail. The base layer is obtained using an edge-preserving filter called the bilateral filter. This is a non-linear filter, where the weight of each pixel is computed using a Gaussian in the spatial domain multiplied by an influence function in the intensity domain that decreases the weight of pixels with large intensity differences. We express bilateral filtering in the framework of robust statistics and show how it relates to anisotropic diffusion. We then accelerate bilateral filtering by using a piecewise-linear approximation in the intensity domain and appropriate subsampling. This results in a speed-up of two orders of magnitude. The method is fast and requires no parameter setting.

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Metadata

Authors
Durand, F., & Dorsey, J.
Venue
ACM Transactions on Graphics
Published
2002-07
Volume
21
Issue
3
Pages
257-266
ISSN
  • 0730-0301 (ISSN-L)
  • 1557-7368
OpenAlex
W2998514558
Cited by
1,003
References
0
FWCI
17.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Fast bilateral filtering for the display of high-dynamic-range images. https://app.cochat.ai/papers/10.1145/566654.566574
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Durand, F., & Dorsey, J. (2002). Fast bilateral filtering for the display of high-dynamic-range images. ACM Transactions on Graphics. https://doi.org/10.1145/566654.566574

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.