Fast model-based multispectral imaging using nonnegative principal component analysis
- Authors
- Lee, Moon-Hyun; Park, Hanhoon; Ryu, In; Park, Jong-Il
- Issue Date
- Jun-2012
- Publisher
- OPTICAL SOC AMER
- Citation
- OPTICS LETTERS, v.37, no.11, pp.1937 - 1939
- Indexed
- SCIE
SCOPUS
- Journal Title
- OPTICS LETTERS
- Volume
- 37
- Number
- 11
- Start Page
- 1937
- End Page
- 1939
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/165424
- DOI
- 10.1364/OL.37.001937
- ISSN
- 0146-9592
- Abstract
- 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.
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