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Authors: V. E. Kershner and V. A. Antsiperov

Affiliation: Kotelnikov Institute of Radioengineering and Electronics of RAS, Mokhovaya 11-7, Moscow, Russian Federation

Keyword(s): Image Representation, Photon-Counting Sensor, Ideal Imaging Device, Ideal Image Concept, Counting Statistics.

Abstract: The results of the study of a new method of image coding based on samples of counts are presented. The method is based on the concept of an ideal image, motivated by the mechanisms of light perception by the retina. In this regard, the article discusses general statistical issues of the interaction of radiation with matter and based on a semiclassical approach, formalizes the concepts of an ideal imaging device and an ideal image as a point Poisson 2D-process. At the centre of the discussion is the problem of reducing the dimension of an ideal image to a fixed (controlled) size representation by a sample of counts. The results of illustrative computational experiments on counting representation/coding of digital raster images are also presented.

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Paper citation in several formats:
Kershner, V. and Antsiperov, V. (2022). Image Coding by Samples of Counts as an Imitation of the Light Detection by the Retina. In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-549-4; ISSN 2184-4313, SciTePress, pages 41-50. DOI: 10.5220/0010836800003122

@conference{icpram22,
author={V. E. Kershner. and V. A. Antsiperov.},
title={Image Coding by Samples of Counts as an Imitation of the Light Detection by the Retina},
booktitle={Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2022},
pages={41-50},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010836800003122},
isbn={978-989-758-549-4},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Image Coding by Samples of Counts as an Imitation of the Light Detection by the Retina
SN - 978-989-758-549-4
IS - 2184-4313
AU - Kershner, V.
AU - Antsiperov, V.
PY - 2022
SP - 41
EP - 50
DO - 10.5220/0010836800003122
PB - SciTePress