Development of a shaving die design for reducing rollover
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Publication Details
Author list: Sontamino A., Thipprakmas S.
Publisher: Elsevier
Publication year: 2019
Journal: Journal of Computational and Applied Mathematics (0377-0427)
Volume number: 103
Issue number: #
Start page: 1831
End page: 1845
Number of pages: 15
ISSN: 0377-0427
eISSN: 1879-1778
Languages: English-Great Britain (EN-GB)
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Abstract
In this paper, we introduce a total variation l 1 -l 2 regularization scheme with adapting the parameter for image restoration involving blurry and noisy colour images. Numerically, an efficient augmented Lagrangian method associated with alternating minimization method is described to obtain the optimal solution recursively. We provide the convergence analysis for the resulting algorithm. Experimental results show that our proposed model and algorithm have good signal to noise ratio (SNR) and improvement in signal to noise ratio (ISNR) values for a motion blur with different kinds of noises. ฉ 2018 Elsevier B.V.
Keywords
Augmented Lagrangian, Convex minimization problem, Image recovery problems, Image restoration, Total variation(TV)
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