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Multispectral filter-wheel cameras: geometric distortion model and compensation algorithms.

Johannes Brauers¹, Nils Schulte, Til Aach

¹Institute of Imaging and Computer Vision, RWTH Aachen University, D-52056 Aachen, Germany. johannes.brauers@lfb.rwth-aachen.de

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|November 14, 2008

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Geometric distortions in multispectral imaging cause color fringes. This study presents mathematical models and algorithms to eliminate these color fringes, significantly improving image accuracy for multispectral cameras.

Area of Science:

Optics and Photonics
Image Processing
Computational Imaging

Background:

Multispectral image acquisition enhances color accuracy over RGB technology.
Common designs utilize filter wheels with multiple optical bandpass filters for spectral reconstruction.
Geometric distortions arise from filter variations, causing color fringes in reconstructed images.

Purpose of the Study:

To analyze the optical path in filter-wheel based multispectral cameras.
To derive a mathematical model for geometric distortions.
To develop and evaluate algorithms for compensating color fringes.

Main Methods:

Analysis of the optical path to model geometric distortions.
Development of two distinct compensation algorithms based on the derived mathematical model.

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Evaluation of algorithm accuracy and execution time.

Main Results:

A mathematical model for geometric distortions in multispectral imaging was established.
Two compensation algorithms were developed and applied.
Complete elimination of color fringes was achieved, validating the algorithms' effectiveness.

Conclusions:

The developed algorithms successfully compensate for geometric distortions in multispectral images.
The compensation significantly enhances color accuracy in multispectral imaging.
The methods offer accurate and efficient solutions for multispectral camera artifact correction.