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Cited by 218

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Separable Bilateral Filtering for Fast Video Preprocessing

Pham, T.Q., van Vliet, L.J.·2005·2005 IEEE International Conference on Multimedia and Expo

Abstract

Bilateral filtering is an edge-preserving filtering technique that employs both geometric closeness and photometric similarity of neighboring pixels to construct its filter kernel. Multi-dimensional bilateral filtering is computationally expensive because the adaptive kernel has to be recomputed at every pixel. In this paper, we present a separable implementation of the bilateral filter. The separable implementation offers equivalent adaptive filtering capability at a fraction of execution time compared to the traditional filter. Because of this efficiency, the separable bilateral filter can be used for fast preprocessing of images and videos. Experiments show that better image quality and higher compression efficiency is achievable if the original video is preprocessed with the separable bilateral filter.

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Metadata

Authors
Pham, T. Q., & van Vliet, L. J.
Venue
2005 IEEE International Conference on Multimedia and Expo
Publisher
IEEE
Published
2005-10-24
Pages
454-457
OpenAlex
W2128298440
Cited by
218
References
2
FWCI
10.68
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Separable Bilateral Filtering for Fast Video Preprocessing. https://app.cochat.ai/papers/10.1109/icme.2005.1521458
The paper
Pham, T. Q., & van Vliet, L. J. (2005). Separable Bilateral Filtering for Fast Video Preprocessing. 2005 IEEE International Conference on Multimedia and Expo. https://doi.org/10.1109/icme.2005.1521458

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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