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Proceedings Paper

Spatial arrangement of color filter array for multispectral image acquisition
Author(s): Raju Shrestha; Jon Yngve Hardeberg; Rahat Khan
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Paper Abstract

In the past few years there has been a significant volume of research work carried out in the field of multispectral image acquisition. The focus of most of these has been to facilitate a type of multispectral image acquisition systems that usually requires multiple subsequent shots (e.g. systems based on filter wheels, liquid crystal tunable filters, or active lighting). Recently, an alternative approach for one-shot multispectral image acquisition has been proposed; based on an extension of the color filter array (CFA) standard to produce more than three channels. We can thus introduce the concept of multispectral color filter array (MCFA). But this field has not been much explored, particularly little focus has been given in developing systems which focuses on the reconstruction of scene spectral reflectance. In this paper, we have explored how the spatial arrangement of multispectral color filter array affects the acquisition accuracy with the construction of MCFAs of different sizes. We have simulated acquisitions of several spectral scenes using different number of filters/channels, and compared the results with those obtained by the conventional regular MCFA arrangement, evaluating the precision of the reconstructed scene spectral reflectance in terms of spectral RMS error, and colorimetric ▵E*ab color differences. It has been found that the precision and the the quality of the reconstructed images are significantly influenced by the spatial arrangement of the MCFA and the effect will be more and more prominent with the increase in the number of channels. We believe that MCFA-based systems can be a viable alternative for affordable acquisition of multispectral color images, in particular for applications where spatial resolution can be traded off for spectral resolution. We have shown that the spatial arrangement of the array is an important design issue.

Paper Details

Date Published: 17 February 2011
PDF: 9 pages
Proc. SPIE 7875, Sensors, Cameras, and Systems for Industrial, Scientific, and Consumer Applications XII, 787503 (17 February 2011); doi: 10.1117/12.872253
Show Author Affiliations
Raju Shrestha, Gjøvik Univ. College (Norway)
Jon Yngve Hardeberg, Gjøvik Univ. College (Norway)
Rahat Khan, Gjøvik Univ. College (Norway)


Published in SPIE Proceedings Vol. 7875:
Sensors, Cameras, and Systems for Industrial, Scientific, and Consumer Applications XII
Ralf Widenhorn; Valérie Nguyen, Editor(s)

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