Image reconstruction from undersampled confocal microscopy data using multiresolution based maximum entropy regularization

We consider the problem of reconstructing 2D images from randomly under-sampled confocal microscopy samples. The well known and widely celebrated total variation regularization, which is the ℓ1 norm of derivatives, turns out to be unsuitable for this problem; it is unable to handle both noise and un...

Full description

Saved in:
Bibliographic Details
Published inJournal of instrumentation Vol. 14; no. 7; p. P07015
Main Authors Francis, B., Mathew, M., Arigovindan, M.
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 16.07.2019
Subjects
Online AccessGet full text

Cover

Loading…