Image Tiling for Clustering to Improve Stability of Constant-Time Color Bilateral Filtering

Takahisa Miyamura, Norishige Fukushima, Muhammad Waqas, Kenjiro Sugimoto, Sei Ichiro Kamata

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Bilateral filtering is a typical edge-preserving smoothing and it is used in various applications. The main issue of bilateral filtering is the processing time. In order to solve this problem, constant-time bilateral filtering has been proposed. The constant-time bilateral filter is an effective method for grayscale images, but it takes high cost for color images because of the curse of dimensionality. Some algorithms specialize in constant-time color bilateral filtering for color images by using clustering. However, the clustering has randomness, and computational cost itself is also high. In this paper, we propose an acceleration method of clustering by using K-means ++, tiling, and subsampling, and also achieve improvement of the stability.

本文言語English
ホスト出版物のタイトル2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings
出版社IEEE Computer Society
ページ1038-1042
ページ数5
ISBN(電子版)9781728163956
DOI
出版ステータスPublished - 2020 10
イベント2020 IEEE International Conference on Image Processing, ICIP 2020 - Virtual, Abu Dhabi, United Arab Emirates
継続期間: 2020 9 252020 9 28

出版物シリーズ

名前Proceedings - International Conference on Image Processing, ICIP
2020-October
ISSN(印刷版)1522-4880

Conference

Conference2020 IEEE International Conference on Image Processing, ICIP 2020
国/地域United Arab Emirates
CityVirtual, Abu Dhabi
Period20/9/2520/9/28

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識
  • 信号処理

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