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.
Date
Aug 26, 2024 9:00 AM
Event
Location
Lyon
50 Quai Charles de Gaulle, Lyon, 69006
Link to the corresponding article.