國立虎尾科技大學 |

Spectral Filter Array for Multispectral Imaging.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Spectral Filter Array for Multispectral Imaging./
作者:	Ni, Chuan.
面頁冊數:	1 online resource (94 pages)
附註:	Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.
標題:	Nanotechnology. -
電子資源:	click for full text (PQDT)
ISBN:	9781369839494

Spectral Filter Array for Multispectral Imaging.
Ni, Chuan.

Spectral Filter Array for Multispectral Imaging. - 1 online resource (94 pages)

Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.

Thesis (Ph.D.)--University of Dayton, 2017.

Includes bibliographical references

Conventional multispectral imaging (MSI) is achieved by utilizing a spectral filter array --- a set of predetermined narrowband spectral filters spatially multiplexed over an array of pixel sensors, which necessitates different filters to be designed for each application. In this dissertation, we propose a fundamentally different approach to multispectral imaging known as the Fourier Multispectral Imaging (Fourier MSI). The proposed method utilizes broadband multichroic filters with sinusoidally varying transmittance as a function of wavenumber. Unlike narrowband measurements, these sinusoidal filter measurements largely avoid aliasing that contaminates the spectra while undersampling with narrowband filters. Because of this, Fourier MSI provides a better recovery from discrete filter measurements and preserves the spectra features over the entire detecting wavelength range. We designed and fabricated these sinusoidal filters in both bulk and pixel formats, built up multispectral imaging system with the manufactured filters and made spectral imaging measurements with numerous targets like multispectral LED array, color checker, etc. The measurements show that spectral features such as reflection and absorption peaks are well preserved with this technique. Compared to multispectral systems based on narrowband filters, the Fourier MSI system generalizes well to applications where we lack a priori knowledge of the expected spectral content, which makes it a versatile technique for a wide range of multispectral imaging applications.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369839494Subjects--Topical Terms:

557660
Nanotechnology.
Index Terms--Genre/Form:

554714
Electronic books.

Spectral Filter Array for Multispectral Imaging.
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500 $a Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.
500 $a Adviser: Andrew Sarangan.
502 $a Thesis (Ph.D.)--University of Dayton, 2017.
504 $a Includes bibliographical references
520 $a Conventional multispectral imaging (MSI) is achieved by utilizing a spectral filter array --- a set of predetermined narrowband spectral filters spatially multiplexed over an array of pixel sensors, which necessitates different filters to be designed for each application. In this dissertation, we propose a fundamentally different approach to multispectral imaging known as the Fourier Multispectral Imaging (Fourier MSI). The proposed method utilizes broadband multichroic filters with sinusoidally varying transmittance as a function of wavenumber. Unlike narrowband measurements, these sinusoidal filter measurements largely avoid aliasing that contaminates the spectra while undersampling with narrowband filters. Because of this, Fourier MSI provides a better recovery from discrete filter measurements and preserves the spectra features over the entire detecting wavelength range. We designed and fabricated these sinusoidal filters in both bulk and pixel formats, built up multispectral imaging system with the manufactured filters and made spectral imaging measurements with numerous targets like multispectral LED array, color checker, etc. The measurements show that spectral features such as reflection and absorption peaks are well preserved with this technique. Compared to multispectral systems based on narrowband filters, the Fourier MSI system generalizes well to applications where we lack a priori knowledge of the expected spectral content, which makes it a versatile technique for a wide range of multispectral imaging applications.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
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