Fast and simple super-resolution with single images - Université de Lille
Article Dans Une Revue Scientific Reports Année : 2022

Fast and simple super-resolution with single images

Résumé

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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hal-04510622 , version 1 (19-03-2024)

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Paul H. C. Eilers, Cyril Ruckebusch. Fast and simple super-resolution with single images. Scientific Reports, 2022, Scientific Reports, 12, pp.11241. ⟨10.1038/s41598-022-14874-8⟩. ⟨hal-04510622⟩
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