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Computer Optics, 2019, Volume 43, Issue 2, Pages 251–257
DOI: https://doi.org/10.18287/2412-6179-2019-43-2-251-257 (Mi co642) 		 
This article is cited in 29 scientific papers (total in 29 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

An adaptive image inpainting method based on the modified Mumford-Shah model and multiscale parameter estimation

D. N. Thanha, V. Surya Prasathbcd, N. Sonef, L. M. Hieug

a Department of Information Technology, Hue College of Industry, Hue 530000 VN
b Department of Biomedical Informatics, College of Medicine, University of Cincinnati, OH 45267 USA
c Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229 USA
d Department of Electrical Engineering and Computer Science, University of Cincinnati, OH 45221 USA
e Ballistic Research Laboratory, Military Weapon Institute, Hanoi 100000, Vietnam
f Department of Robotics and Production Adaptation, Tula State University, Tula, Russia
g Department of Economics, University of Economics, The University of Danang, Danang 550000, Vietnam
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DOI: https://doi.org/10.18287/2412-6179-2019-43-2-251-257
Abstract: Image inpainting is a process of filling missing and damaged parts of image. By using the Mumford-Shah image model, the image inpainting can be formulated as a constrained optimization problem. The Mumford-Shah model is a famous and effective model to solve the image inpainting problem. In this paper, we propose an adaptive image inpainting method based on multiscale parameter estimation for the modified Mumford-Shah model. In the experiments, we will handle the comparison with other similar inpainting methods to prove that the combination of classic model such the modified Mumford-Shah model and the multiscale parameter estimation is an effective method to solve the inpainting problem.
Keywords: image inpainting, Mumford-Shah model, modified Mumford-Shah model, regularization, Euler-Lagrange equation, inverse gradient, multiscale.
Received: 15.08.2018
Accepted: 13.03.2019
Document Type: Article
Language: English
Citation: D. N. Thanh, V. Surya Prasath, N. Son, L. M. Hieu, “An adaptive image inpainting method based on the modified Mumford-Shah model and multiscale parameter estimation”, Computer Optics, 43:2 (2019), 251–257
Citation in format AMSBIB
\Bibitem{ThaSurSon19}
\by D.~N.~Thanh, V.~Surya Prasath, N.~Son, L.~M.~Hieu
\paper An adaptive image inpainting method based on the modified Mumford-Shah model and multiscale parameter estimation
\jour Computer Optics
\yr 2019
\vol 43
\issue 2
\pages 251--257
\mathnet{http://mi.mathnet.ru/co642}
\crossref{https://doi.org/10.18287/2412-6179-2019-43-2-251-257}
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    • This publication is cited in the following 29 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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