Total Variation Denoising With Non-Convex Regularizers

Total Variation Denoising With Non-Convex Regularizers

Total variation (TV) denoising has attracted considerable attention in 1-D and 2-D signal processing. For image denoising, the convex cost function can be viewed as the regularized linear least squares problem (<inline-formula> <tex-math notation="LaTeX">$\ell _{1}$ </tex-ma...

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Bibliographic Details
Main Authors: Jian Zou, Marui Shen, Ya Zhang, Haifeng Li, Guoqi Liu, Shuxue Ding
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Total variation denoising
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non-convex regularizer
forward-backward splitting
Online Access:https://ieeexplore.ieee.org/document/8584477/

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