Abstract
Imaging systems based on multispectral filter arrays(MSFA) can simultaneously acquire wide spectral information. A MSFA image sensor with R, G, B, and near-infrared(NIR) filters can obtain the mixed spectral information of visible bands and that of the NIR bands. Since the color filter materials used in MSFA sensors were almost transparent in the NIR range, the observed colors of multispectral images were degraded by the additional NIR spectral band information. To overcome this color degradation, a new signal processing approach is needed to separate the spectral information of visible bands from the mixed spectral information. In this paper, a color restoration method for imaging systems based on MSFA sensors is proposed. The proposed method restores the received image by removing NIR band spectral information from the mixed wide spectral information. To remove additional spectral information of the NIR band, spectral estimation and spectral decomposition were performed based on the spectral characteristics of the MSFA sensor. The experimental results show that the proposed method restored color information by removing unwanted NIR contributions to the RGB color channels.
| Original language | English |
|---|---|
| Title of host publication | VISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings |
| Publisher | SciTePress |
| Pages | 30-37 |
| Number of pages | 8 |
| Volume | 1 |
| ISBN (Electronic) | 9789897580895 |
| Publication status | Published - 2015 Jan 1 |
| Event | 10th International Conference on Computer Vision Theory and Applications, VISAPP 2015 - Berlin, Germany Duration: 2015 Mar 11 → 2015 Mar 14 |
Other
| Other | 10th International Conference on Computer Vision Theory and Applications, VISAPP 2015 |
|---|---|
| Country | Germany |
| City | Berlin |
| Period | 15/3/11 → 15/3/14 |
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All Science Journal Classification (ASJC) codes
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition
Cite this
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Color restoration for infrared cutoff filter removed RGBN multispectral filter array image sensor. / Park, Chul Hee; Oh, Hyun Mook; Kang, Moon Gi.
VISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings. Vol. 1 SciTePress, 2015. p. 30-37.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Color restoration for infrared cutoff filter removed RGBN multispectral filter array image sensor
AU - Park, Chul Hee
AU - Oh, Hyun Mook
AU - Kang, Moon Gi
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Imaging systems based on multispectral filter arrays(MSFA) can simultaneously acquire wide spectral information. A MSFA image sensor with R, G, B, and near-infrared(NIR) filters can obtain the mixed spectral information of visible bands and that of the NIR bands. Since the color filter materials used in MSFA sensors were almost transparent in the NIR range, the observed colors of multispectral images were degraded by the additional NIR spectral band information. To overcome this color degradation, a new signal processing approach is needed to separate the spectral information of visible bands from the mixed spectral information. In this paper, a color restoration method for imaging systems based on MSFA sensors is proposed. The proposed method restores the received image by removing NIR band spectral information from the mixed wide spectral information. To remove additional spectral information of the NIR band, spectral estimation and spectral decomposition were performed based on the spectral characteristics of the MSFA sensor. The experimental results show that the proposed method restored color information by removing unwanted NIR contributions to the RGB color channels.
AB - Imaging systems based on multispectral filter arrays(MSFA) can simultaneously acquire wide spectral information. A MSFA image sensor with R, G, B, and near-infrared(NIR) filters can obtain the mixed spectral information of visible bands and that of the NIR bands. Since the color filter materials used in MSFA sensors were almost transparent in the NIR range, the observed colors of multispectral images were degraded by the additional NIR spectral band information. To overcome this color degradation, a new signal processing approach is needed to separate the spectral information of visible bands from the mixed spectral information. In this paper, a color restoration method for imaging systems based on MSFA sensors is proposed. The proposed method restores the received image by removing NIR band spectral information from the mixed wide spectral information. To remove additional spectral information of the NIR band, spectral estimation and spectral decomposition were performed based on the spectral characteristics of the MSFA sensor. The experimental results show that the proposed method restored color information by removing unwanted NIR contributions to the RGB color channels.
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M3 - Conference contribution
VL - 1
SP - 30
EP - 37
BT - VISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings
PB - SciTePress
ER -