Video deraining via nonlocal low-rank regularization
Sign Up to like & getrecommendations! Published in 2020 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2019.10.065
Abstract: Abstract Outdoor videos captured in rainy weather may be significantly corrupted by the undesired rain streaks, which severely affect the video processing tasks in outdoor computer vision systems. In this paper, we propose a tensor-based… read more here.
Keywords: video; nonlocal low; rain streaks; rank regularization ... See more keywords
Nonlocal low-rank and sparse matrix decomposition for spectral CT reconstruction.
Sign Up to like & getrecommendations! Published in 2018 at "Inverse problems"
DOI: 10.1088/1361-6420/aa942c
Abstract: Spectral computed tomography (CT) has been a promising technique in research and clinic because of its ability to produce improved energy resolution images with narrow energy bins. However, the narrow energy bin image is often… read more here.
Keywords: rank sparse; low rank; nonlocal low; energy ... See more keywords
Hyperspectral Image Restoration via Subspace-Based Nonlocal Low-Rank Tensor Approximation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3141801
Abstract: In this letter, we present a subspace-based nonlocal low-rank tensor approximation framework (SNLRTA) for hyperspectral image (HSI) restoration. The proposed method consists of a subspace learning method to achieve an accurate subspace characterization of HSI… read more here.
Keywords: rank tensor; tensor approximation; low rank; subspace ... See more keywords
Robust Nonlocal Low-Rank SAR Time Series Despeckling Considering Speckle Correlation by Total Variation Regularization
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.2985400
Abstract: Outliers and speckle both corrupt time series of synthetic aperture radar (SAR) acquisitions. Owing to the coherence between SAR acquisitions, their speckle can no longer be regarded as independent. In this study, we propose an… read more here.
Keywords: nonlocal low; time; time series; low rank ... See more keywords
Hyperspectral Image Denoising With Weighted Nonlocal Low-Rank Model and Adaptive Total Variation Regularization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3214542
Abstract: Hyperspectral image (HSI) is always corrupted by various types of noises during image capturing, such as Gaussian noise, stripe noise, deadline noise, impulse noise, and more. Such complicated noise significantly degrades imaging quality and thus… read more here.
Keywords: noise; model; hsi; hyperspectral image ... See more keywords
A NONLOCAL LOW-RANK REGULARIZATION METHOD FOR FRACTAL IMAGE CODING
Sign Up to like & getrecommendations! Published in 2021 at "Fractals"
DOI: 10.1142/s0218348x21501255
Abstract: Fractal coding has been widely used as an image compression technique in many image processing problems in the past few decades. On the other hand side, most of the natural images have the characteristic of… read more here.
Keywords: nonlocal low; low rank; image coding; image ... See more keywords