Bilateral Half-Box Image Filtering

Miku Fukatsu, Shin Yoshizawa, Hiroshi Takemura, Hideo Yokota

Research output: Contribution to journalLetterpeer-review

Abstract

Because edge-aware filtering has been widely used for image-based automation technologies, developing a practical, fast algorithm for its use is important. This letter proposes a simple and fast computational method for edge-aware image filtering based on bilateral half-box regions. Our filter consists of a weighted average of only eight color sums within each halfbox region adjacent to a given pixel, where the tonal weights are similar to those obtained with bilateral filtering. The eight sums are efficiently obtained by a single fast box filter using the relative coordinate relationship between the pixel and each half-box center. We examined the performance of our filter based on comparisons with conventional methods.

Original languageEnglish
Pages (from-to)427-432
Number of pages6
JournalInternational Journal of Automation Technology
Volume18
Issue number3
DOIs
Publication statusPublished - May 2024

Keywords

  • bilateral filter
  • fast edgeaware filtering
  • half-box averaging

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