Bilateral Half-Box Image Filtering

IF 0.9 Q4 AUTOMATION & CONTROL SYSTEMS International Journal of Automation Technology Pub Date : 2024-05-05 DOI:10.20965/ijat.2024.p0427
Miku Fukatsu, Shin Yoshizawa, Hiroshi Takemura, Hideo Yokota
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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.
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双侧半框图像滤波
由于边缘感知滤波已广泛应用于基于图像的自动化技术,因此开发一种实用、快速的算法非常重要。本文提出了一种基于双边半方框区域的边缘感知图像滤波的简单而快速的计算方法。我们的滤波器由每个半框区域内与给定像素相邻的八个颜色和的加权平均值组成,其中色调权重与双边滤波获得的权重相似。利用像素与每个半方框中心之间的相对坐标关系,通过单个快速方框滤波器就能有效地获得这八个和。我们根据与传统方法的比较,检验了我们滤波器的性能。
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来源期刊
International Journal of Automation Technology
International Journal of Automation Technology AUTOMATION & CONTROL SYSTEMS-
CiteScore
2.10
自引率
36.40%
发文量
96
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