Spectral imaging by a multichannel camera

Shoji Tominaga

doi:10.1117/1.482702

1 October 1999 Spectral imaging by a multichannel camera

Shoji Tominaga

Journal of Electronic Imaging, Vol. 8, Issue 4, (October 1999). https://doi.org/10.1117/1.482702

A set of multichannel camera systems and algorithms is described for recovering both the surface spectral-reflectance function and the illuminant spectral-power distribution from the data of spectral imaging. We describe a camera system with six spectral channels of fixed wavelength bands. This system is composed of a monochrome charge-coupled device camera, six different color filters, and a personal computer. The dynamic range of the camera is extended for sensing the high-intensity levels of highlights. We assume that the object surfaces in a scene are made of an inhomogeneous dielectric material whose reflection properties are described by the dichromatic reflection model. The process for estimating the spectral data comprises several steps: (1) finitedimensional linear model representation of wavelength functions, (2) illuminant estimation, (3) data normalization and image segmentation, and (4) reflectance estimation. An algorithm is proposed for detecting highlight areas in the image. The reliability of the camera system and the algorithms is demonstrated in an experiment. Finally, a new type of camera system using a liquid-crystal filter is proposed.

Citation Download Citation

Shoji Tominaga "Spectral imaging by a multichannel camera," Journal of Electronic Imaging 8(4), (1 October 1999). https://doi.org/10.1117/1.482702

Published: 1 October 1999

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