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Aug 2026

Graph-Regularized Estimation for Inverse Problems in Computational Optical Imaging

Computational optical imaging reconstructs signals from limited and noisy measurements, leading to ill-posed inverse problems that require regularization. Graph regularization (GR) has shown promise for modeling complex spatial correlations, but its relationship to classical Total Variation (TV) regularization remains...

Chong Wang, Hao Lu, Yu-Yuan Han et al. · 0 citations

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