Multispectral image capture using a tunable filter

Jon Yngve Hardeberg; Francis J. M. Schmitt; Hans Brettel

doi:10.1117/12.373441

21 December 1999 Multispectral image capture using a tunable filter

Jon Yngve Hardeberg, Francis J. M. Schmitt, Hans Brettel

Proceedings Volume 3963, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts V; (1999) https://doi.org/10.1117/12.373441
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

In this article we describe the experimental setup of a multispectral image acquisition system consisting of a professional monochrome CCD camera and a tunable filter in which the spectral transmittance can be controlled electronically. We have performed a spectral characterization of the acquisition system taking into account the acquisition noise. To convert the camera output signals to device-independent data, two main approaches are proposed and evaluated. One consists in applying regression methods to convert from the K camera outputs to a device- independent color space such as CIEXYZ or CIELAB. Another method is based on a spectral model of the acquisition system. By inverting the model using a Principal Eigenvector approach, we estimate the spectral reflectance of each pixel of the imaged surface.

Citation Download Citation

Jon Yngve Hardeberg, Francis J. M. Schmitt, and Hans Brettel "Multispectral image capture using a tunable filter", Proc. SPIE 3963, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts V, (21 December 1999); https://doi.org/10.1117/12.373441

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available