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Open access Oct 2026

MDIRNET: Multi-Degradation Image Restoration Network via Deep Unfolding

Real images often exhibit unknown and mixed degradations, making restoration substantially more challenging than single-task image restoration because multiple distortion types interact within the same observation. Consequently, existing methods often rely on prior knowledge of the degradation type or separate task-spe...

T. Nadeem, Arslan Majal, Muhammad Tahir et al. · 0 citations

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