Improved Parameter Estimation Method for Bilateral Filter with Distribution Distance
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- Makishi Taiki
- Toyohashi University of Technology
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- Ichikawa Shuichi
- Toyohashi University of Technology
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- Fujieda Naoki
- Toyohashi University of Technology
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- Yamada Chikatoshi
- National Institute of Technology, Okinawa College
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- Miyagi Kei
- National Institute of Technology, Okinawa College
Bibliographic Information
- Other Title
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- 分布間距離を用いたBilateral Filterのパラメータ推定法の改良
- ブンプ カン キョリ オ モチイタ Bilateral Filter ノ パラメータ スイテイホウ ノ カイリョウ
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Description
<p>Makishi et al. (2017) proposed a method that estimates the parameters for a bilateral filter, based on the distribution distance of images. This study proposes an improved version of the Makishi et al. (2017) method, which includes three new contributions. Firstly, our improved method was verified with two image sizes and two noise distributions. Secondly, five distribution distance functions were examined for the local search of parameter sets, where SKLD was found to be slightly superior to HD in terms of image quality and execution time. Finally, the parallelization of local search was examined for faster parameter estimation with recent multi-core processors. With a 2.8GHz Xeon processor of 10 cores, the parameter estimation times were reduced to 36ms (256x256 pixel) and 1.03 s (1024x1024 pixel).</p>
Journal
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- IEEJ Transactions on Industry Applications
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IEEJ Transactions on Industry Applications 139 (2), 104-110, 2019-02-01
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390282763097944320
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- NII Article ID
- 130007588321
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- NII Book ID
- AN10012320
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- ISSN
- 13488163
- 09136339
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- NDL BIB ID
- 029495988
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
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- Abstract License Flag
- Disallowed