PCA based guided bilateral filter for medical color images

研究成果: Conference contribution

抄録

This paper presents a fast and accurate approximation of the bilateral filter for color images such as medical color images. The bilateral filter has a problem of high computational complexity. Various acceleration methods have been proposed in the past. However, most of the existing methods have been developed for grayscale images, not for color images. Therefore, the computational complexity is high even though we apply the state-of-the-art fast approximate methods to color images. This paper tackles the problem based on the idea of the cross/joint bilateral filter. It filters a target image using an additional guide image for higher-quality output. Our key idea is to generate the guide image by the principal component analysis for the color vector distribution of the target image. As a result, the proposed method achieves highly-accurate approximation of the bilateral filter and succeeds in drastically reducing the computational complexity. Our experiments show that the proposed method is robust in high contrast medical color images. Furthermore, we combined the state-of-the-art constant-time bilateral filter with the proposed method. This combination achieved high quality performance in terms of both approximate accuracy and computational complexity.

本文言語English
ホスト出版物のタイトルProceedings of the 2019 9th International Conference on Biomedical Engineering and Technology, ICBET 2019
出版社Association for Computing Machinery
ページ142-148
ページ数7
ISBN(電子版)9781450361309
DOI
出版ステータスPublished - 2019 3 28
イベント9th International Conference on Biomedical Engineering and Technology, ICBET 2019 - Tokyo, Japan
継続期間: 2019 3 282019 3 30

出版物シリーズ

名前ACM International Conference Proceeding Series

Conference

Conference9th International Conference on Biomedical Engineering and Technology, ICBET 2019
CountryJapan
CityTokyo
Period19/3/2819/3/30

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

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