PSTAIC regularization for 2D spatiotemporal image reconstruction

Fuente: arXiv
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Main Authors: Skariah, Deepak G, Arigovindan, Muthuvel
Format: Preprint
Published: 2024
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author Skariah, Deepak G
Arigovindan, Muthuvel
author_facet Skariah, Deepak G
Arigovindan, Muthuvel
contents We propose a model for restoration of spatio-temporal TIRF images based on infimal decomposition regularization model named STAIC proposed earlier. We propose to strengthen the STAIC algorithm by enabling it to estimate the relative weights in the regularization term by incorporating it as part of the optimization problem. We also design an iterative scheme which alternatively minimizes the weight and image sub-problems. We demonstrate the restoration quality of this regularization scheme against other restoration models enabled by similar weight estimation schemes.
format Preprint
id arxiv_https___arxiv_org_abs_2404_18294
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle PSTAIC regularization for 2D spatiotemporal image reconstruction
Skariah, Deepak G
Arigovindan, Muthuvel
Image and Video Processing
We propose a model for restoration of spatio-temporal TIRF images based on infimal decomposition regularization model named STAIC proposed earlier. We propose to strengthen the STAIC algorithm by enabling it to estimate the relative weights in the regularization term by incorporating it as part of the optimization problem. We also design an iterative scheme which alternatively minimizes the weight and image sub-problems. We demonstrate the restoration quality of this regularization scheme against other restoration models enabled by similar weight estimation schemes.
title PSTAIC regularization for 2D spatiotemporal image reconstruction
topic Image and Video Processing
url https://arxiv.org/abs/2404.18294