Abdullah H. Al-Shabili

2 accepted papers

2020

Learning Plug-And-Play Proximal Quasi-Newton Denoisers

Abdullah H. Al-Shabili, Hassan Mansour, Petros T. Boufounos

ICASSP 2020accepted

Plug-and-play (PnP) denoising for solving inverse problems has received significant attention recently thanks to its state of the art signal reconstruction performance. However, the performance improvement hinges on carefully choosing the noise level of the Gaus-sian denoiser and the descent step si…

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2019

Sharpening Sparse Regularizers

Abdullah H. Al-Shabili, Ivan W. Selesnick

ICASSP 2019accepted

Non-convex penalties outperform the convex ℓ-norm, but generally sacrifice the cost function convexity. As a middle ground, we propose a framework to design non-convex penalties that induce sparsity more effectively than the ℓ-norm, but without sacrificing the cost function convexity. The non-smooth…

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