PreprintCC BY-NC-ND 4.0arXiv
Reducing ringing artifacts in Wiener deconvolution using implicit physical priors
Abstract
With advances in high-speed imaging there is a growing need for robust high-speed deconvolution algorithms. Wiener deconvolution remains one of the fastest and simplest algorithms available, however it suffers from ringing artifacts that can limit its applicability. In this work, we develop two complementary, computationally efficient heuristic methods to suppress these ringing artifacts by using physical non-negativity and sparsity priors.
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BibTeX
@misc{czuchnowski2026reducing,
title = {{Reducing ringing artifacts in Wiener deconvolution using implicit physical priors}},
author = {Jakub Czuchnowski and Jerome Mertz},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.26320},
eprint = {2609.26320},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.26320},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - UNPB
TI - Reducing ringing artifacts in Wiener deconvolution using implicit physical priors
AU - Jakub Czuchnowski
AU - Jerome Mertz
PY - 2026
DA - 2026/09/22
PB - arXiv
DO - 10.48550/arxiv.2609.26320
UR - https://arxiv.org/abs/2609.26320
AB - With advances in high-speed imaging there is a growing need for robust high-speed deconvolution algorithms. Wiener deconvolution remains one of the fastest and simplest algorithms available, however it suffers from ringing artifacts that can limit its applicability. In this work, we develop two complementary, computationally efficient heuristic methods to suppress these ringing artifacts by using physical non-negativity and sparsity priors.
ER -