Near-Constant Time Bilateral Filter for High Dimensional Images

Christina Karam, Kenjiro Sugimoto, Keigo Hirakawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Bilateral filter is a popular edge-preserving nonlinear filter. It prevents smoothing across object boundaries by limiting the contribution of pixels dissimilar in appearance. Despite its usefulness, the complexity of the filter makes it unattractive for high dimensional data and large window size. We develop a novel technique to accelerate this filter so that the execution time is nearly constant with respect to the color dimensionality and the window sizea hyperspectral image can be processed almost as fast as a grayscale image.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings
PublisherIEEE Computer Society
Pages3244-3248
Number of pages5
ISBN (Electronic)9781479970612
DOIs
Publication statusPublished - 2018 Aug 29
Event25th IEEE International Conference on Image Processing, ICIP 2018 - Athens, Greece
Duration: 2018 Oct 72018 Oct 10

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference25th IEEE International Conference on Image Processing, ICIP 2018
CountryGreece
CityAthens
Period18/10/718/10/10

Keywords

  • Bilateral filter
  • Monte-Carlo

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Karam, C., Sugimoto, K., & Hirakawa, K. (2018). Near-Constant Time Bilateral Filter for High Dimensional Images. In 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings (pp. 3244-3248). [8451545] (Proceedings - International Conference on Image Processing, ICIP). IEEE Computer Society. https://doi.org/10.1109/ICIP.2018.8451545