Low-rank tensor completion via tensor joint rank with logarithmic composite norm

arXiv:2309.16208v2 Announce Type: replace
Abstract: Low-rank tensor completion (LRTC) aims to recover a complete low-rank tensor from incomplete observed tensor, attracting extensive attention in various practical applications such as image processing and computer vision. However, current methods often perform well only when there is a sufficient of observed information, and they perform poorly or may fail when the observed information is less than 5\%. In order to improve the utilization of observed information, a new method called the tensor joint …

abstract applications arxiv attention computer computer vision cs.cv current however image image processing information low norm practical processing tensor type via vision