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Proceedings Paper

Natural image database and illuminant classification research
Author(s): Shoji Tominaga
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Paper Abstract

We introduce an image database called Natural Image Database of collecting natural color images that can be used via the Internet, and then show how it is used for illuminant classification and evaluate our sensor correlation method. A significant feature of the present database is inclusion of both image and illuminant data. It is not only a collection of color images taken a CCD camera, but also includes the calibration data of the camera used for image acquisition and the illuminant spectral data measured by a spectro-radiometer for each scene. Therefore, illuminant estimation algorithms can be evaluated on various natural scenes and comparison with the direct measurements. The illuminant classification is based on correlation computation between the gamut of an observed image and each of the reference illuminant gamuts. The illuminant gamuts of blackbody radiators are created from 2500K to 8500K in the RB sensor plane. The image gamut is defined as the convex hull of pixel values of the observed image. Then, one illuminant gamut is selected as the estimated illuminant, which gives an overall maximum of the correlation function. An experiment using the image database is executed for demonstrating the feasibility.

Paper Details

Date Published: 20 December 2001
PDF: 9 pages
Proc. SPIE 4672, Internet Imaging III, (20 December 2001); doi: 10.1117/12.452661
Show Author Affiliations
Shoji Tominaga, Osaka Electro-Communication Univ. (Japan)

Published in SPIE Proceedings Vol. 4672:
Internet Imaging III
Giordano B. Beretta; Raimondo Schettini, Editor(s)

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