A new TWCTV regularizer using weighted Schatten-p norms on gradients and adaptive sparse weighting in the M-product framework is proposed for robust tensor completion, with an ADMM solver and claimed superior performance on image tasks.
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Robust Low-Rank Tensor Completion based on M-product with Weighted Correlated Total Variation and Sparse Regularization
A new TWCTV regularizer using weighted Schatten-p norms on gradients and adaptive sparse weighting in the M-product framework is proposed for robust tensor completion, with an ADMM solver and claimed superior performance on image tasks.