Open AccessAn Alternating Direction Method for Mixed Gaussian Plus Impulse Noise Removal
Author(s) -
Si Wang,
TingZhu Huang,
Xi-Le Zhao,
Jun Liu
Publication year - 2013
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2013/850360
Subject(s) - impulse noise , mathematics , gaussian noise , gaussian , impulse (physics) , algorithm , mathematical optimization , computer science , computer vision , physics , pixel , quantum mechanics
A combined total variation and high-order total variation model is proposed to restore blurred images corrupted by impulse noise or mixed Gaussian plus impulse noise. We attack the proposed schemewith an alternating direction method of multipliers (ADMM). Numerical experiments demonstrate the efficiency of the proposed method and the performance of the proposed method is competitive with the existing state-of-the-art methods
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