Gridless 2D Recovery of Lines using the Sliding Frank-Wolfe Algorithm - Statistique pour le Vivant et l’Homme Access content directly
Preprints, Working Papers, ... Year : 2024

Gridless 2D Recovery of Lines using the Sliding Frank-Wolfe Algorithm

Abstract

We present a new approach leveraging the Sliding Frank--Wolfe algorithm to address the challenge of line recovery in degraded images. Building upon advances in conditional gradient methods for sparse inverse problems with differentiable measurement models, we propose two distinct models tailored for line detection tasks within the realm of blurred line deconvolution and ridge detection of linear chirps in spectrogram images.
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Dates and versions

hal-04505428 , version 1 (14-03-2024)

Identifiers

  • HAL Id : hal-04505428 , version 1

Cite

Kévin Polisano, Basile Dubois-Bonnaire, Sylvain Meignen. Gridless 2D Recovery of Lines using the Sliding Frank-Wolfe Algorithm. 2024. ⟨hal-04505428⟩
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