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IJAT Vol.18 No.3 pp. 427-432
doi: 10.20965/ijat.2024.p0427
(2024)

Letter:

Bilateral Half-Box Image Filtering

Miku Fukatsu*,** ORCID Icon, Shin Yoshizawa**,† ORCID Icon, Hiroshi Takemura* ORCID Icon, and Hideo Yokota** ORCID Icon

*Department of Mechanical and Aerospace Engineering, Graduate School of Science and Technology, Tokyo University of Science
2641 Yamazaki, Noda, Chiba 278-8510, Japan

**Image Processing Research Team, Center for Advanced Photonics, RIKEN
Wako, Japan

Corresponding author

Received:
August 14, 2023
Accepted:
February 7, 2024
Published:
May 5, 2024
Keywords:
bilateral filter, half-box averaging, fast edge-aware filtering
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 half-box 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.

Cite this article as:
M. Fukatsu, S. Yoshizawa, H. Takemura, and H. Yokota, “Bilateral Half-Box Image Filtering,” Int. J. Automation Technol., Vol.18 No.3, pp. 427-432, 2024.
Data files:
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Last updated on May. 19, 2024