Repositorio
Institucional

Vera, Esteban

Diaz, Nelson

Alvarado, Alejandro

Meza, Pablo

Guzman, Felipe

Multispectral Filter Array Design by Optimal Sphere Packing

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

IEEE TRANSACTIONS ON IMAGE PROCESSING

en

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.

2023

artículo original

10.1109/TIP.2023.3288414

PDF

Multispectral imaging

multispectral filter array

sphere packing

multispectral image demosaicking

Ingeniería en ciencias de la computación

Imágenes multiespectrales

matriz de filtros multiespectrales

embalaje de esferas

demostración de imágenes multiespectrales

3634.0

3649

artículo original

versión publicada

CC BY NC 4.0

CC BY NC 4.0

acceso abierto

acceso abierto

WOS:001024111100003

1057-7149

verde# dorado

Ingeniería en ciencias de la computación

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