most citedMultiplicative Noise Removal: Nonlocal Low-Rank Model and Its Proximal Alternating Reweighted Minimization Algorithm

1 citations · 2 across the 2 of their papers we have counts for

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math.OC2024★ 1 cited

Provably Convergent Plug-and-play Proximal Block Coordinate Descent Method for Hyperspectral Anomaly Detection

Xiaoxia Liu, Shijie YU

Hyperspectral anomaly detection refers to identifying pixels in the hyperspectral images that have spectral characteristics significantly different from the background. In this pap…

math.OC2024

Orthogonal Constrained Minimization with Tensor Regularization for HSI Denoising and Destriping

Xiaoxia Liu, Shijie Yu, Jian Lu +1

Hyperspectral images~(HSIs) are often contaminated by a mixture of noise such as Gaussian noise, dead lines, stripes, and so on. In this paper, we propose a multi-scale low-rank te…

math.OC2020★ 1 cited

Multiplicative Noise Removal: Nonlocal Low-Rank Model and Its Proximal Alternating Reweighted Minimization Algorithm

Xiaoxia Liu, Jian Lu, Lixin Shen +2

The goal of this paper is to develop a novel numerical method for efficient multiplicative noise removal. The nonlocal self-similarity of natural images implies that the matrices f…