# BSGD-TV: A parallel algorithm solving total variation constrained image reconstruction problems

## TL;DR

This paper introduces a parallel algorithm for large-scale total variation constrained image reconstruction, demonstrating faster convergence than existing methods through theoretical proof and numerical experiments.

## Contribution

The paper presents a novel parallel algorithm for TV constrained image reconstruction with proven convergence and improved speed over block ADMM.

## Key findings

- Faster convergence compared to block ADMM
- Theoretical proof of convergence
- Effective for large-scale problems

## Abstract

We propose a parallel reconstruction algorithm to solve large scale TV constrained linear inverse problems. We provide a convergence proof and show numerically that our method is significantly faster than the main competitor, block ADMM.