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

Access this Article

Search this Article

Author(s)

Abstract

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

  • 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

    The Japan Society of Mechanical Engineers

Codes

Page Top