Image Coding by Samples of Counts as an Imitation of the Light Detection by the Retina

V. Kershner, V. Antsiperov

2022

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.

Paper Citation

in Harvard Style

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 - Volume 1: ICPRAM, ISBN 978-989-758-549-4, pages 41-50. DOI: 10.5220/0010836800003122

in Bibtex Style

@conference{icpram22,
author={V. Kershner and V. 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 - Volume 1: ICPRAM,},
year={2022},
pages={41-50},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010836800003122},
isbn={978-989-758-549-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Image Coding by Samples of Counts as an Imitation of the Light Detection by the Retina
SN - 978-989-758-549-4
AU - Kershner V.
AU - Antsiperov V.
PY - 2022
SP - 41
EP - 50
DO - 10.5220/0010836800003122