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Automated Color Misalignment Correction for Close-Range and Long-Range Hyper-Resolution Multi-Line CCD Images Read chapter Read first chapter

2014 | OriginalPaper | Chapter

On the von Kries Model: Estimation, Dependence on Light and Device, and Applications

Author : Michela Lecca

Published in: Advances in Low-Level Color Image Processing

Publisher: Springer Netherlands

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Abstract

The von Kries model is widely employed to describe the color variation between two pictures portraying the same scene but captured under two different lights. Simple but effective, this model has been proved to be a good approximation of such a color variation and it underpins several color constancy algorithms. Here we present three recent research results: an efficient histogram-based method to estimate the parameters of the von Kries model, and two theoretical advances, that clarify the dependency of these parameters on the physical cues of the varied lights and on the photometric properties of the camera used for the acquisition. We illustrate many applications of these results: color correction, illuminant invariant image retrieval, estimation of color temperature and intensity of a light, and photometric characterization of a device. We also include a wide set of experiments carried out on public datasets, in order to allow the reproducibility and the verification of the results, and to enable further comparisons with other approaches.

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previous chapter A Taxonomy of Color Constancy and Invariance Algorithm
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Metadata
Title
On the von Kries Model: Estimation, Dependence on Light and Device, and Applications
Author
Michela Lecca
Copyright Year
2014
Publisher
Springer Netherlands
Book
Advances in Low-Level Color Image Processing

Print ISBN: 978-94-007-7583-1

Electronic ISBN: 978-94-007-7584-8

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-94-007-7584-8_4

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