PCA based guided bilateral filter for medical color images

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Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2019 9th International Conference on Biomedical Engineering and Technology, ICBET 2019
PublisherAssociation for Computing Machinery
Pages142-148
Number of pages7
ISBN (Electronic)9781450361309
DOIs
Publication statusPublished - 2019 Mar 28
Event9th International Conference on Biomedical Engineering and Technology, ICBET 2019 - Tokyo, Japan
Duration: 2019 Mar 282019 Mar 30

Publication series

NameACM International Conference Proceeding Series

Conference

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

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Keywords

  • Bilateral filter
  • Color images
  • Edge-preserving smoothing
  • Guide image
  • Principal component analysis

ASJC Scopus subject areas

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

Cite this

Kage, T., Sugimoto, K., & Kamata, S. (2019). PCA based guided bilateral filter for medical color images. In Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology, ICBET 2019 (pp. 142-148). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3326172.3326201