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An adaptive image inpainting method based on the modified mumford-shah model and multiscale parameter estimation

التفاصيل البيبلوغرافية
العنوان: An adaptive image inpainting method based on the modified mumford-shah model and multiscale parameter estimation
المؤلفون: Dang Ngoc Hoang Thanh, Prasath Surya, Nguyen Van Son, Le Minh Hieu
المصدر: Компьютерная оптика, Vol 43, Iss 2, Pp 251-257 (2019)
بيانات النشر: Samara National Research University, 2019.
سنة النشر: 2019
المجموعة: LCC:Information theory
LCC:Optics. Light
مصطلحات موضوعية: image inpainting, Mumford-Shah model, modified Mumford-Shah model, regularization, Euler-Lagrange equation, inverse gradient, multiscale, Information theory, Q350-390, Optics. Light, QC350-467
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
Russian
تدمد: 2412-6179
0134-2452
العلاقة: http://computeroptics.ru/KO/PDF/KO43-2/430212.pdfTest; https://doaj.org/toc/0134-2452Test; https://doaj.org/toc/2412-6179Test
DOI: 10.18287/2412-6179-2019-43-2-251-257
الوصول الحر: https://doaj.org/article/9c27f18c328f419cb07dd0b3f6618f64Test
رقم الانضمام: edsdoj.9c27f18c328f419cb07dd0b3f6618f64
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24126179
01342452
DOI:10.18287/2412-6179-2019-43-2-251-257