From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration

6 Jul 2018Zhiyuan ZhaXin YuanBihan WenJiantao ZhouJiachao ZhangCe Zhu

In this paper, we propose a novel approach to the rank minimization problem, termed rank residual constraint (RRC) model. Different from existing low-rank based approaches, such as the well-known nuclear norm minimization (NNM) and the weighted nuclear norm minimization (WNNM), which estimate the underlying low-rank matrix directly from the corrupted observations, we progressively approximate the underlying low-rank matrix via minimizing the rank residual... (read more)

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