Noise reduction of hyperspectral images using a joint bilateral filter with fused images

Ayoung Heo; Jai-Hoon Lee; Eun-Jin Choi; Won-Chul Choi; Seo Hyun Kim; Dong-Jo Park

doi:10.1117/12.884359

20 May 2011 Noise reduction of hyperspectral images using a joint bilateral filter with fused images

Ayoung Heo, Jai-Hoon Lee, Eun-Jin Choi, Won-Chul Choi, Seo Hyun Kim, Dong-Jo Park

Proceedings Volume 8048, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII; 80481R (2011) https://doi.org/10.1117/12.884359
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

Citation Download Citation

Ayoung Heo, Jai-Hoon Lee, Eun-Jin Choi, Won-Chul Choi, Seo Hyun Kim, and Dong-Jo Park "Noise reduction of hyperspectral images using a joint bilateral filter with fused images", Proc. SPIE 8048, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII, 80481R (20 May 2011); https://doi.org/10.1117/12.884359

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