Near-Constant Time Bilateral Filter for High Dimensional Images

Christina Karam, Kenjiro Sugimoto, Keigo Hirakawa

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings
出版社IEEE Computer Society
ページ3244-3248
ページ数5
ISBN(電子版)9781479970612
DOI
出版ステータスPublished - 2018 8 29
イベント25th IEEE International Conference on Image Processing, ICIP 2018 - Athens, Greece
継続期間: 2018 10 72018 10 10

出版物シリーズ

名前Proceedings - International Conference on Image Processing, ICIP
ISSN(印刷版)1522-4880

Conference

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

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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