Handling The Non-Smooth Challenge in Tensor SVD: A Multi-Objective Tensor Recovery Framework

arXiv:2311.13958v2 Announce Type: replace-cross
Abstract: Recently, numerous tensor singular value decomposition (t-SVD)-based tensor recovery methods have shown promise in processing visual data, such as color images and videos. However, these methods often suffer from severe performance degradation when confronted with tensor data exhibiting non-smooth changes. It has been commonly observed in real-world scenarios but ignored by the traditional t-SVD-based methods. In this work, we introduce a novel tensor recovery model with a learnable tensor nuclear norm to address such a …

abstract arxiv challenge color cs.cv cs.lg data framework however images multi-objective performance processing recovery singular stat.ml svd tensor type value videos visual visual data