Repositorio UFRO · Omeka S

Multispectral Filter Array Design by Optimal Sphere Packing

Primer Autor	Vera, Esteban
Co-autores	Diaz, Nelson Alvarado, Alejandro Meza, Pablo Guzman, Felipe
Título	Multispectral Filter Array Design by Optimal Sphere Packing
Editorial	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Revista	IEEE TRANSACTIONS ON IMAGE PROCESSING
Lenguaje	en
Resumen	Multispectral imaging (MSI) collects a datacube of spatio-spectral information of a scene. Many acquisition methods for spectral imaging use scanning, preventing its widespread usage for dynamic scenes. On the other hand, the conventional color filter array (CFA) method often used to sample color images has also been extended to snapshot MSI using a Multispectral Filter Array (MSFA), which is a mosaic of selective spectral filters placed over the Focal Plane Array (FPA). However, even state-ofthe- art MSFAs coding patterns produce artifacts and distortions in the reconstructed spectral images, which might be due to the nonoptimal distribution of the spectral filters. To reduce the appearance of artifacts and provide tools for the optimal design of MSFAs, this paper proposes a novel mathematical framework to design MSFAs using a Sphere Packing (SP) approach. By assuming that each sampled filter can be represented by a sphere within the discrete datacube, SP organizes the position of the equal-size and disjoint spheres's centers in a cubic container. Our method is denoted Multispectral Filter Array by Optimal Sphere Packing (MSFA-OSP), which seeks filter positions that maximize the minimum distance between the spheres's centers. Simulation results show an image quality improvement of up to 2 dB and a remarkable boost in spectral similarity when using our proposed MSFA design approach for a variety of reconstruction algorithms. Moreover, MSFA-OSP notably reduces the appearance of false colors and zipper effect artifacts, often seen when using state-of-the-art demosaicking algorithms. Experiments using synthetic and real data prove that the proposed MSFA-OSP outperforms state-of-the-art MSFAs in terms of spatial and spectral fidelity. The code that reproduces the figures of this article is available at https://github.com/nelson10/DemosaickingMultispectral3DSpherePacking.git.
Fecha Publicación	2023
Tipo de Recurso	artículo original
doi	10.1109/TIP.2023.3288414
Formato Recurso	PDF
Palabras Claves	Multispectral imaging multispectral filter array sphere packing multispectral image demosaicking
Ubicación del archivo	http://dx.doi.org/10.1109/TIP.2023.3288414
Categoría OCDE	Ingeniería en ciencias de la computación
Materias	Imágenes multiespectrales matriz de filtros multiespectrales embalaje de esferas demostración de imágenes multiespectrales
Página de inicio (Recomendado-único)	3634.0
Página final (Recomendado-único)	3649
Identificador del recurso (Mandatado-único)	artículo original
Versión del recurso (Recomendado-único)	versión publicada
License	CC BY NC 4.0
Condición de la licencia (Recomendado-repetible)	CC BY NC 4.0
Derechos de acceso	acceso abierto
Access Rights	acceso abierto
Id de Web of Science	WOS:001024111100003
ISSN	1057-7149
Tipo de ruta	verde# dorado
Categoría WOS	Ingeniería en ciencias de la computación
Referencia del Financiador (Mandatado si es aplicable-repetible)	ANID ANILLOS ATE220022 ANID ANILLOS ATE220057 ANID FONDECYT 1201081 ANID FONDECYT 1221883 ANID FONDO ALMA ASTRO20-0088 ANID 2022-21221399 ANID 2023-21231970 MINEDUC FRO19101