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Fast model-based multispectral imaging using nonnegative principal component analysis

delete2012-05-24
delete10
PRE
AI
M
Moon-Hyun Lee
H
Hanhoon Park
I
In Ryu
J
Jong‐Il Park *
DOI:10.1364/OL.37.001937delete
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摘要

摘要

En 中文
Estimation of the spectral reflectance of a scene is a critical problem in image processing and computer vision applications. Model-based multispectral imaging, one of the spectral reflectance estimation methods, can effectively reconstruct the full spectrum using a small number of camera shots. However, it is based on iterative optimization and, thus, is computationally too intensive. In this Letter, we modify the iterative optimization problem to a closed-form problem using nonnegative principal component analysis. The proposed method can substantially reduce the computational cost while maintaining the accuracy. (C) 2012 Optical Society of America
Keyword:
SPECTRAL REFLECTANCE
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期刊

Optics Letters 封面图
Optics Letters
IF:
3.3
论文数:
4.0W
被引数:
7.6W

机构

H
hanyang university
学者数:
2.9W
论文数: 2.7W
被引数: 36
P
Pukyong National University
学者数:
6.1K
论文数: 6.5K
被引数: 6.3K
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