Proximal linearized alternating direction method of multipliers algorithm for nonconvex image restoration with impulse noise

Abstract Image restoration with impulse noise is an important task in image processing. Taking into account the statistical distribution of impulse noise, the ℓ1‐norm data fidelity and total variation (ℓ1TV) model has been widely used in this area. However, the ℓ1TV model usually performs worse when...

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Bibliographic Details
Main Authors: Yuchao Tang, Shirong Deng, Jigen Peng, Tieyong Zeng
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:IET Image Processing
Subjects:
Online Access:https://doi.org/10.1049/ipr2.12917