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

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

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

Abstract

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.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings
PublisherIEEE Computer Society
Pages1038-1042
Number of pages5
ISBN (Electronic)9781728163956
DOIs
Publication statusPublished - 2020 Oct
Event2020 IEEE International Conference on Image Processing, ICIP 2020 - Virtual, Abu Dhabi, United Arab Emirates
Duration: 2020 Sep 252020 Sep 28

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2020-October
ISSN (Print)1522-4880

Conference

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

Keywords

  • K-means ++
  • color bilateral filter
  • constant-time bilateral filter
  • edge-preserving filter
  • tiling

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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