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2019 | OriginalPaper | Buchkapitel

Image Inpainting Based on Local Patch Search Supported by Image Segmentation

verfasst von : Sarah Almeida Carneiro, Helio Pedrini, Silvio Jamil Ferzoli Guimarães

Erschienen in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Verlag: Springer International Publishing

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Abstract

Image inpainting can be defined as a restoration process in which damaged or selected regions are repaired by taking into account the image content. In this work, we employ a local-based strategy instead of a global one to identify the best existing patch with information to replace the damaged/selected patch. In order to properly identify the most representative patches, we propose a method based on the (i) creation of a local graph using a similarity of patches in the original image and (ii) partition of the image into regions according to hierarchical image segmentation to support the local patch identification. The experimental results demonstrate that our local search outperformed the results of image inpainting in terms of both qualitative and quantitative aspects, when compared to global search of patches.

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Ambrosio, L., Fusco, N., Hutchinson, J.E.: Higher integrability of the gradient and dimension of the singular set for minimisers of the Mumford-Shah functional. Calc. Var. Partial. Differ. Equ. 16(2), 187–215 (2003)MathSciNetCrossRef

Bertalmio, M., Bertozzi, A.L., Sapiro, G.: Navier-stokes, fluid dynamics, and image and video inpainting. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1. IEEE (2001)

Bertalmio, M., Caselles, V., Masnou, S., Sapiro, G.: Inpainting. Technical report, Duke University (2011)

Bertalmio, M., Sapiro, G., Caselles, V., Ballester, C.: Image inpainting. In: 27th Annual Conference on Computer Graphics and Interactive Techniques, pp. 417–424. ACM Press/Addison-Wesley Publishing Co. (2000)

Cousty, J., Najman, L., Kenmochi, Y., Guimarães, S.: Hierarchical segmentations with graphs: quasi-flat zones, minimum spanning trees, and saliency maps. J. Math. Imaging Vis. 60, 479–502 (2017)MathSciNetCrossRef

Criminisi, A., Pérez, P., Toyama, K.: Region filling and object removal by exemplar-based image inpainting. IEEE Trans. Image Process. 13(9), 1200–1212 (2004)CrossRef

Defferrard, M.: Graph-based image inpainting. Technical report, École Polytechnique Fédérale de Lausanne (EFPL) (2014)

Efros, A., Leung, T.: Texture synthesis by non-parametric sampling. In: Seventh IEEE International Conference on Computer Vision, p. 1033. IEEE, September 1999

Fan, Q., Zhang, L.: A novel patch matching algorithm for exemplar-based image inpainting. Multimedia Tools Appl. 77, 1–15 (2017)

10.

Guillemot, C., Le Meur, O.: Image inpainting: overview and recent advances. IEEE Signal Process. Mag. 31(1), 127–144 (2014)CrossRef

11.

Karaca, E., Tunga, M.A.: An interpolation-based texture and pattern preserving algorithm for inpainting color image. Expert Syst. Appl. 91, 223–234 (2018)CrossRef

12.

Masnou, S., Morel, J.-M.: Level Lines based disocclusion. In: International Conference on Image Processing, pp. 259–263. IEEE (1998)

13.

Ogden, J.M., Adelson, E.H., Bergen, J.R., Burt, P.J.: Pyramid-based computer graphics. RCA Eng. 30(5), 4–15 (1985)

14.

Perret, B., Cousty, J., Guimarães, S.J.F., Maia, D.S.: Evaluation of hierarchical watersheds. IEEE Trans. Image Process. 27(4), 1676–1688 (2018)MathSciNetCrossRef

15.

Qureshi, M.A., Deriche, M., Beghdadi, A., Amin, A.: A critical survey of state-of-the-art image inpainting quality assessment metrics. J. Vis. Commun. Image Represent. 49, 177–191 (2017)CrossRef

16.

Roubíček, T.: Nonlinear Partial Differential Equations with Applications, vol. 153. Springer, Basel (2013). https://doi.org/10.1007/978-3-0348-0513-1CrossRefMATH

17.

Wang, H., Jiang, L., Liang, R., Li, X.-X.: Exemplar-based image inpainting using structure consistent patch matching. Neurocomputing 269, 90–96 (2017)CrossRef

18.

Yang, C., Lu, X., Lin, Z., Shechtman, E., Wang, O., Li, H.: High-resolution image inpainting using multi-scale neural patch synthesis. In: IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, p. 3 (2017)

19.

Zhao, G., Liu, J., Jiang, J., Wang, W.: A deep cascade of neural networks for image inpainting, deblurring and denoising. Multimed. Tools Appl. 77, 1–16 (2017)

Titel: Image Inpainting Based on Local Patch Search Supported by Image Segmentation
verfasst von: Sarah Almeida Carneiro
Helio Pedrini
Silvio Jamil Ferzoli Guimarães
Verlag: Springer International Publishing
Buch: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Print ISBN: 978-3-030-13468-6

Electronic ISBN: 978-3-030-13469-3

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-030-13469-3_49

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