%Aigaion2 BibTeX export from Idiap Publications %Friday 13 December 2024 10:30:41 PM @TECHREPORT{Shajkofci_Idiap-RR-07-2018, author = {Shajkofci, Adrian and Liebling, Michael}, projects = {Idiap}, month = {6}, title = {Semi-blind spatially-variant deconvolution in optical microscopy with local Point Spread Function estimation by use of Convolutional Neural Networks}, type = {Idiap-RR}, number = {Idiap-RR-07-2018}, year = {2018}, institution = {Idiap}, note = {Accepted to IEEE ICIP 2018}, abstract = {We present a semi-blind, spatially-variant deconvolution technique aimed at optical microscopy that combines a local estimation step of the point spread function (PSF) and deconvolution using a spatially variant, regularized Richardson-Lucy algorithm. To find the local PSF map in a computationally tractable way, we train a convolutional neural network to perform regression of an optical parametric model on synthetically blurred image patches. We deconvolved both synthetic and experimentally-acquired data, and achieved an improvement of image SNR of 1.00 dB on average, compared to other deconvolution algorithms.}, pdf = {https://publications.idiap.ch/attachments/reports/2018/Shajkofci_Idiap-RR-07-2018.pdf} }