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Proceedings Paper

Noise reduction of hyperspectral images using a joint bilateral filter with fused images
Author(s): Ayoung Heo; Jai-Hoon Lee; Eun-Jin Choi; Won-Chul Choi; Seo Hyun Kim; Dong-Jo Park
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Paper Abstract

In this paper, we propose a denoising method for hyperspectral images using a joint bilateral filter. The joint bilateral filter with the fused image of hyperspectral image bands is applied on the noisy image bands. This fused image is a single grayscale image that is obtained by the weighted summation of hyperspectral image bands. It retains the features and details of each hyperspectral image band. Therefore the joint bilateral filter with the fused image is powerful in reducing noise while preserving the characteristics of the individual spectral bands. We evaluated the performance of the proposed noise reduction method on hyperspectral imaging systems, which we developed for visible and near-infrared spectral regions. Experimental results show that the proposed method outperforms the conventional approaches, such as the basic bilateral filter.

Paper Details

Date Published: 20 May 2011
PDF: 6 pages
Proc. SPIE 8048, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII, 80481R (20 May 2011); doi: 10.1117/12.884359
Show Author Affiliations
Ayoung Heo, KAIST (Korea, Republic of)
Jai-Hoon Lee, KAIST (Korea, Republic of)
Eun-Jin Choi, KAIST (Korea, Republic of)
Won-Chul Choi, KAIST (Korea, Republic of)
Seo Hyun Kim, KAIST (Korea, Republic of)
Dong-Jo Park, KAIST (Korea, Republic of)


Published in SPIE Proceedings Vol. 8048:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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