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Reconstruction of Optical Coherence Tomography Images Using Mixed Low Rank Approximation and Second Order Tensor Based Total Variation Method

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第一作者： Daneshmand, Parisa Ghaderi

作者： Daneshmand, Parisa Ghaderi ^[1] ; Mehridehnavi, Alireza ; Rabbani, Hossein

作者单位： Isfahan Univ Med Sci, Med Image & Signal Proc Res Ctr, Sch Adv Technol Med, Esfahan 8174673461, Iran ^[1]

关键词 Tensors Image reconstruction Noise reduction Correlation Retina Redundancy Approximation algorithms 1st 2nd-order tensor-based total variation (TTV)low-rank approximation optical coherent tomography (OCT)super-resolution nuclear norm

发布时间 2021-10-30

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IEEE Transactions on Medical Imaging

2021年40卷3期

865-878页

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IEEE Transactions on Medical Imaging

2021年40卷3期

865-878页

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Reconstruction of Optical Coherence Tomography Images Using Mixed Low Rank Approximation and Second Order Tensor Based Total Variation Method

IEEE Transactions on Medical Imaging

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Reconstruction of Optical Coherence Tomography Images Using Mixed Low Rank Approximation and Second Order Tensor Based Total Variation Method

IEEE Transactions on Medical Imaging

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IEEE Transactions on Medical Imaging

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