English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

It is well known that the registration process is a key step forsuper-resolution reconstruction. In this work, we propose to use apiezoelectric system that is easily adaptable on all microscopes and telescopesfor controlling accurately their motion (down to nanometers) and thereforeacquiring multiple images of the same scene at different controlled positions.Then a fast super-resolution algorithm \cite{eh01} can be used for efficientsuper-resolution reconstruction. In this case, the optimal use of $r^2$ imagesfor a resolution enhancement factor $r$ is generally not enough to obtainsatisfying results due to the random inaccuracy of the positioning system. Thuswe propose to take several images around each reference position. We study theerror produced by the super-resolution algorithm due to spatial uncertainty asa function of the number of images per position. We obtain a lower bound on thenumber of images that is necessary to ensure a given error upper bound withprobability higher than some desired confidence level.

Statistical performance analysis of a fast super-resolution technique using noisy translations