Fast and simple super-resolution with single images.
Sci Rep
; 12(1): 11241, 2022 07 04.
Article
en En
| MEDLINE
| ID: mdl-35787655
ABSTRACT
We present a fast and simple algorithm for super-resolution with single images. It is based on penalized least squares regression and exploits the tensor structure of two-dimensional convolution. A ridge penalty and a difference penalty are combined; the former removes singularities, while the latter eliminates ringing. We exploit the conjugate gradient algorithm to avoid explicit matrix inversion. Large images are handled with ease zooming a 100 by 100 pixel image to 800 by 800 pixels takes less than a second on an average PC. Several examples, from applications in wide-field fluorescence microscopy, illustrate performance.
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1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Algoritmos
Idioma:
En
Revista:
Sci Rep
Año:
2022
Tipo del documento:
Article
País de afiliación:
Países Bajos