Hua-Long Yin

Improved total variation regularized physics-informed neural network for unsupervised image denoising

This paper proposes a new unsupervised image denoising method based on an improved TV constraint in PINNs that significantly mitigates staircase effects and shows superior denoising robustness, structural fidelity, and computational efficiency in complex noise environments.