AI RESEARCH
Bound-Constrained Sparse Representation for Electrical Impedance Tomography
arXiv CS.CV
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ArXi:2605.28392v1 Announce Type: new This study proposes a bound-constrained sparse representation (BC-SR) framework for electrical impedance tomography (EIT), aimed at improving conductivity estimation without explicit regularization. BC-SR adopts a representation-driven strategy, generating conductivity from low-dimensional latent variables via an implicit composite parameterization.