Hyperspectral Gaussian Filtering : Edge-Preserving Smoothing for Hyperspectral Image and Its Separable Acceleration
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- Fujita Shu
- Nagoya Institute of Technology
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- Fukushima Norishige
- Nagoya Institute of Technology
Description
For hyperspectral imaging, we proposed an edge-preserving filter, named hyperspectral Gaussian filtering, and its separable implementation for accelerating the proposed filter. Experimental results show that the acceleration has superior performance to the brute-force implementation and the other state-of-the-art methods in denosing. Also, we successfully achieves 70-times speedup with the acceleration.
Journal
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- The Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM
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The Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2015.6 (0), 5-6, 2015
The Japan Society of Mechanical Engineers
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Details 詳細情報について
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- CRID
- 1390001205899933184
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- NII Article ID
- 110010043530
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- ISSN
- 24243116
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed