Sep 2026
Bayesian Robust Fully-Connected Tensor Network Decomposition for Visual Data Denoising
Tensor Robust Principal Component Analysis (TRPCA) aims to recover low-rank and sparse components from the noisy tensor data, which has attracted significant attention in visual data denoising. However, existing CANDECOMP/PARAFAC (CP) and Tucker decomposition methods fail to fully exploit inter-dimensional correlations...
Chang-Long Li, Ze-Can Yang, Laurence T. Yang et al.
· IEEE Transactions on Image P... · 0 citations