Hyperspectral Gaussian Filtering : Edge-Preserving Smoothing for Hyperspectral Image and Its Separable Acceleration

• Fujita Shu

  Nagoya Institute of Technology

• Fukushima Norishige

  Nagoya Institute of Technology

抄録

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.

収録刊行物

• The Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM

  The Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2015.6 (0), 5-6, 2015

  一般社団法人 日本機械学会

詳細情報

• CRID: 1390001205899933184
• NII論文ID: 110010043530
• DOI: 10.1299/jsmeicam.2015.6.5
• ISSN: 24243116
• Web Site: https://www.jstage.jst.go.jp/article/jsmeicam/2015.6/0/2015.6_5/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可