NDLI: Color Correction for Digital Images Based on the Finite-Dimensional Linear-Model

Content Provider	IEEE Xplore Digital Library
Author	Cai Yiheng Cao Meiling Ma Meijuan
Copyright Year	2008
Description	Author affiliation: Signal & Inf. Process. Lab., Beijing Univ. of Technol., Beijing, China (Cao Meiling) \|\| Coll. of Mech. Eng. & Appl. Electron. Technol., Beijing Univ. of Technol., Beijing, China (Cai Yiheng; Ma Meijuan)
Abstract	The image color recorded in a computer vision system depends on three factors: the physical content of the scene, the illumination on the scene, and the characteristics of the camera. The goal of computational color correction is to reset the intensities of the color channels in digital images, and express the scene colors canonically. In the color correction method based on spectral reflectance reproduction, the finite-dimensional linear-model is an effective way to condense spectral reflectance. Since there are only three channels for each pixel in digital images, color correction based on spectral reflectance reproduction using the finite-dimensional model with three dimensions is needed. In the definite gamut, the spectral reflectance curves are analyzed using the finite-dimensional model. It is shown that reflectance generated by three basis functions which is capturing 99.13% of the overall variance, provides good approximations to the measured spectral reflectance. Together with the measured spectral power distribution of the illumination and the estimated spectral responses of the camera, the quantum catches are calculated. Errors caused by approximation of the finite-dimensional model are relatively small, which shows that color correction based on the finite-dimensional linear-model has feasibility to some extent.
Starting Page	313
Ending Page	317
File Size	278243
Page Count	5
File Format	PDF
ISBN	9780769533360
DOI	10.1109/CSSE.2008.805
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reflectivity Computer vision Power measurement Digital images Layout Lighting Power distribution Color Cameras Pixel
Content Type	Text
Resource Type	Article

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