Отрывок: N.H., Prasath V.B.S., Son N.V., Hieu L.M. 254 Computer Optics, 2019, Vol. 43(2) error metric and do not compare to other methods, be- cause there is no metric to assess the quality of objects removal. We just focus on vision and feeling. Hence, the comparison in this case is not objective. Fig. 1. Dependence of the image quality metrics (PSNR, SSIM) on parameter λ Figure 1 shows the dependence of the imag...
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dc.contributor.authorThanh, D.N.H.-
dc.contributor.authorPrasath, V.B.S.-
dc.contributor.authorSon, N.V.-
dc.contributor.authorHieu, L.M.-
dc.date.accessioned2019-05-27 10:43:22-
dc.date.available2019-05-27 10:43:22-
dc.date.issued2019-04-
dc.identifierDspace\SGAU\20190524\77075ru
dc.identifier.citationThanh DNH, Prasath VBS, Son NV, Son NV, Hieu LM. An adaptive image inpainting method based on the modified Mumford-Shah model and multiscale parameter estimation. Computer Optics 2019; 43(2): 251-257. DOI: 10.18287/2412-6179-2019-43-2-251-257.ru
dc.identifier.urihttps://dx.doi.org/10.18287/2412-6179-2019-43-2-251-257-
dc.identifier.urihttp://repo.ssau.ru/handle/Zhurnal-Komputernaya-optika/An-adaptive-image-inpainting-method-based-on-the-modified-mumfordshah-model-and-multiscale-parameter-estimation-77075-
dc.description.abstractImage 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.ru
dc.language.isoenru
dc.publisherНовая техникаru
dc.relation.ispartofseries43;2-
dc.subjectimage inpaintingru
dc.subjectMumford-Shah modelru
dc.subjectmodified Mumford-Shah modelru
dc.subjectregularizationru
dc.subjectEuler-Lagrange equationru
dc.subjectinverse gradientru
dc.subjectmultiscaleru
dc.titleAn adaptive image inpainting method based on the modified mumford-shah model and multiscale parameter estimationru
dc.typeArticleru
dc.textpartN.H., Prasath V.B.S., Son N.V., Hieu L.M. 254 Computer Optics, 2019, Vol. 43(2) error metric and do not compare to other methods, be- cause there is no metric to assess the quality of objects removal. We just focus on vision and feeling. Hence, the comparison in this case is not objective. Fig. 1. Dependence of the image quality metrics (PSNR, SSIM) on parameter λ Figure 1 shows the dependence of the imag...-
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