Image completion with approximate convex hull tensor decomposition

作者：

Highlights：

• Geometrical approach to low-rank image completion.

• Convex-hull algorithm for near-separable tensor decompositions.

• Douglas–Rachford splitting combined with rank-two update least-squares algorithm.

• Low-rank completion of hyperspectral signals.

• Resolution up-scaling with low-rank tensor completion.

摘要

•Geometrical approach to low-rank image completion.•Convex-hull algorithm for near-separable tensor decompositions.•Douglas–Rachford splitting combined with rank-two update least-squares algorithm.•Low-rank completion of hyperspectral signals.•Resolution up-scaling with low-rank tensor completion.

论文关键词：Image completion,Convex-hull algorithm,Near-separable tensor decompositions,Non-negative tensor factorization

论文评审过程：Received 15 July 2020, Revised 1 December 2020, Accepted 6 April 2021, Available online 10 April 2021, Version of Record 18 April 2021.

论文官网地址：https://doi.org/10.1016/j.image.2021.116276