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Authors: Artem Nikonorov 1 ; Sergey Bibikov 1 ; Maksim Petrov 2 ; Yuriy Yuzifovich 2 and Vladimir Fursov 1

Affiliations: 1 Samara State Aerospace University and Image Processing Systems Institute of RAS, Russian Federation ; 2 Samara State Aerospace University, Russian Federation

Keyword(s): Fresnel Lens Imaging, Chromatic Aberration, Deconvolution, Deblur, Sharping, Color Correction, Total Variance Deblur.

Related Ontology Subjects/Areas/Topics: Design and Implementation of Signal Processing Systems ; Image and Video Processing, Compression and Segmentation ; Multimedia ; Multimedia Signal Processing ; Multimedia Systems and Applications ; Sensors and Multimedia ; Telecommunications

Abstract: The lenses of modern single lens reflex (SLR) cameras may contain a dozen or more individual lens elements to correct aberrations. With processing power more readily available, the modern trend in computational photography is to develop techniques for simple lens aberration correction in post-processing. We propose a similar approach to remove aberrations from images captured by a single imaging Fresnel lens. The image is restored using three-stage deblurring of the base color channel, sharpening other and then applying color correction. The first two steps are based on the combination of restoration techniques used for restoring images obtained from simple refraction lenses. Color correction stage is necessary to remove strong color shift caused by chromatic aberrations of simple Fresnel lens. This technique was tested on real images captured by a simple lens, which was made as a three-step approximation of the Fresnel lens. Promising results open up new opportunities in using light weight Fresnel lenses in miniature computer vision devices. (More)

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Paper citation in several formats:
Nikonorov, A.; Bibikov, S.; Petrov, M.; Yuzifovich, Y. and Fursov, V. (2015). Computational Correction for Imaging through Single Fresnel Lenses. In Proceedings of the 12th International Conference on Signal Processing and Multimedia Applications (ICETE 2015) - SIGMAP; ISBN 978-989-758-118-2, SciTePress, pages 68-75. DOI: 10.5220/0005543300680075

@conference{sigmap15,
author={Artem Nikonorov. and Sergey Bibikov. and Maksim Petrov. and Yuriy Yuzifovich. and Vladimir Fursov.},
title={Computational Correction for Imaging through Single Fresnel Lenses},
booktitle={Proceedings of the 12th International Conference on Signal Processing and Multimedia Applications (ICETE 2015) - SIGMAP},
year={2015},
pages={68-75},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005543300680075},
isbn={978-989-758-118-2},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Signal Processing and Multimedia Applications (ICETE 2015) - SIGMAP
TI - Computational Correction for Imaging through Single Fresnel Lenses
SN - 978-989-758-118-2
AU - Nikonorov, A.
AU - Bibikov, S.
AU - Petrov, M.
AU - Yuzifovich, Y.
AU - Fursov, V.
PY - 2015
SP - 68
EP - 75
DO - 10.5220/0005543300680075
PB - SciTePress