Robust Image Recovery via Affine Transformation and <inline-formula> <tex-math notation="LaTeX">$L_{2,1}$ </tex-math></inline-formula> Norm

Robust Image Recovery via Affine Transformation and <inline-formula> <tex-math notation="LaTeX">$L_{2,1}$ </tex-math></inline-formula> Norm

In this paper, we propose a novel robust algorithm for image recovery via affine transformations and the L<sub>2</sub>,<sub>1</sub> norm. To be robust against miscellaneous adverse effects such as occlusions, outliers, and heavy sparse noise, the new algorithm integrates affi...

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Bibliographic Details
Main Authors: Habte Tadesse Likassa, Wen-Hsien Fang, Jenq-Shiou Leu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Affine transformation
<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">L</italic>₂, ₁ norm
robust image recovery
low-rank plus sparse representation
Online Access:https://ieeexplore.ieee.org/document/8784201/

Internet

https://ieeexplore.ieee.org/document/8784201/

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