Fast model-based multispectral imaging using nonnegative principal component analysis
- Title
- Fast model-based multispectral imaging using nonnegative principal component analysis
- Author
- 박종일
- Keywords
- FLUORESCENCE MICROSCOPY; SPECTRAL REFLECTANCE
- Issue Date
- 2012-06
- Publisher
- Optical SOC Amer
- Citation
- Optics Letters, 2012, 37(11), P.1937-1939
- 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. (C) 2012 Optical Society of America
- URI
- https://www.osapublishing.org/ol/abstract.cfm?uri=ol-37-11-1937http://hdl.handle.net/20.500.11754/67473
- ISSN
- 0146-9592
- DOI
- 10.1364/OL.37.001937
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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