Line-wise scanning-based super-resolution imaging.
Opt Lett
; 47(9): 2230-2233, 2022 May 01.
Article
em En
| MEDLINE
| ID: mdl-35486767
ABSTRACT
In this Letter, we present a novel, to the best of our knowledge, line-wise scanning-based super-resolution (LSSR) imaging method. To reduce point spread functions overlapping among pixels, we specifically present a super-resolution (SR) imaging architecture to capture a series of low-resolution images using a line-based optical multiplexing technique, which is able to achieve a good balance between imaging quality and speed. In addition, we propose an efficient joint reconstruction algorithm based on total variation and low-rank constraints to generate a high-resolution image from these low-resolution images that contain different spatial details. Meanwhile, existing stripe noises are efficiently suppressed. Experiments on real data show that LSSR imaging has significant advantages over other state-of-the-art methods in terms of visual quality and quantitative measurement.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Diagnóstico por Imagem
Tipo de estudo:
Diagnostic_studies
Idioma:
En
Revista:
Opt Lett
Ano de publicação:
2022
Tipo de documento:
Article