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Denoising of piecewise constant signal based on total variation.

Authors :
Lv, Donghao
Cao, Weihua
Hu, Wenkai
Gan, Chao
Wu, Min
Source :
Neural Computing & Applications. Oct2022, Vol. 34 Issue 19, p16341-16349. 9p.
Publication Year :
2022

Abstract

Total variation denoising (TVD) algorithm is suitable for the restoration of piecewise constant signals (PCS). The amplitude accuracy of discontinuities affects the overall denoising effect. Improving the amplitude accuracy of discontinuities is the difficulty of PCS denoising. Recent papers have presented TVD-based algorithms to improve the denoising precision. After applying the forward–backward splitting (FBS) method, the iteration of the denoising is comprised by the traditional TVD. This paper proposes a new upper bound function to enhance the accuracy of the traditional TVD method. Then, the enhanced TVD is used to update the TVD-based algorithm to improve the denoising efficiency. The experimental results demonstrate that the proposed method has superior performance compared to other methods in PCS denoising. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09410643
Volume :
34
Issue :
19
Database :
Academic Search Index
Journal :
Neural Computing & Applications
Publication Type :
Academic Journal
Accession number :
159263296
Full Text :
https://doi.org/10.1007/s00521-022-06937-8