RESEARCH ARTICLE
A Fast Algorithm for the Demosaicing Problem Concerning the Bayer Pattern
Antonio Boccuto1, Ivan Gerace1, *, Valentina Giorgetti1, 2, Matteo Rinaldi1
1 Dipartimento di Matematica e Informatica, Laboratorio di Matematica Computazionale “Sauro Tulipani”, Università degli Studi di Perugia via Vanvitelli, 1 I-06123 Perugia, Italy
2 Dipartimento di Matematica e Informatica "Ulisse Dini", Università degli Studi di Firenze, Viale G. B. Morgagni, 67/a, I-50134 Firenze, Italy
Article Information
Identifiers and Pagination:
Year: 2019Volume: 6
First Page: 1
Last Page: 14
Publisher Id: TOSIGPJ-6-1
DOI: 10.2174/1876825301906010001
Article History:
Received Date: 29/6/2018Revision Received Date: 6/12/2018
Acceptance Date: 18/12/2018
Electronic publication date: 29/1/2019
Collection year: 2019
© 2019 Boccuto et al.
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Introduction:
In this paper, we deal with the demosaicing problem when the Bayer pattern is used. We propose a fast heuristic algorithm, consisting of three parts.
Methods:
In the first one, we initialize the green channel by means of an edge-directed and weighted average technique. In the second part, the red and blue channels are updated, thanks to an equality constraint on the second derivatives. The third part consists of a constant-hue-based interpolation.
Results:
We show experimentally how the proposed algorithm gives in mean better reconstructions than more computationally expensive algorithms.
Keywords: Demosaicing, Sparse data problem, Inverse problem, Edge-preserving image reconstruction, Local filtering, Bayer pattern.
