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  1. SIAM Journal on Imaging Sciences (SJISBI)
  2. Volume 4
  3. Volume 4 Issue 4
  4. Robust Video Restoration by Joint Sparse and Low Rank Matrix Approximation
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Volume 11
Volume 10
Volume 9
Volume 8
Volume 7
Volume 6
Volume 5
Volume 4
Volume 4 Issue 4
MumfordShahEuler Flow with Sphere Constraint and Applications to Color Image Inpainting
Theory of Waveform-Diverse Moving-Target Spotlight Synthetic-Aperture Radar
Geometrically Guided Exemplar-Based Inpainting
Robust Video Restoration by Joint Sparse and Low Rank Matrix Approximation
Transient Wave Imaging with Limited-View Data
Continuous Multiclass Labeling Approaches and Algorithms
A MumfordShah-Like Method for Limited Data Tomography with an Application to Electron Tomography
How to Transform and Filter Images Using Iterated Function Systems
Image Inpainting Based on Coherence Transport with Adapted Distance Functions
Volume 4 Issue 3
Volume 4 Issue 2
Volume 4 Issue 1
Volume 3
Volume 2
Volume 1

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Robust Video Restoration by Joint Sparse and Low Rank Matrix Approximation

Content Provider Society for Industrial and Applied Mathematics (SIAM)
Author Huang, Sibin Ji, Hui Xu, Yuhong Shen, Zuowei
Copyright Year 2011
Abstract This paper presents a new patch-based video restoration scheme. By grouping similar patches in the spatiotemporal domain, we formulate the video restoration problem as a joint sparse and low-rank matrix approximation problem. The resulting nuclear norm and $\ell_1$ norm related minimization problem can also be efficiently solved by many recently developed numerical methods. The effectiveness of the proposed video restoration scheme is illustrated on two applications: video denoising in the presence of random-valued noise, and video in-painting for archived films. The numerical experiments indicate that the proposed video restoration method compares favorably against many existing algorithms.
Starting Page 1122
Ending Page 1142
Page Count 21
File Format PDF
DOI 10.1137/100817206
e-ISSN 19364954
Journal SIAM Journal on Imaging Sciences (SJISBI)
Issue Number 4
Volume Number 4
Language English
Publisher Society for Industrial and Applied Mathematics
Publisher Date 2011-11-29
Access Restriction Subscribed
Subject Keyword denoising Inverse problems nuclear norm Image processing Mathematical programming methods sparse matrix in-painting Convex programming low-rank matrix
Content Type Text
Resource Type Article
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