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Constrained Texture Restoration

Abstract

A method is proposed for filling in missing areas of degraded images through explicit structure reconstruction, followed by texture synthesis. The structure being reconstructed represents meaningful edges from the image, which are traced inside the artefact. The structure reconstruction step relies on different properties of the edges touching the artefact and of the areas between them, in order to sketch the missing edges within the artefact area. The texture synthesis step is based on Markov random fields and is constrained by the traced edges in order to preserve both the shape and the appearance of the various regions in the image. The novelty of our contribution concerns constraining the texture synthesis, which proves to give results superior to the original texture synthesis alone, or to the smoothness-preserving structure-based restoration.

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Correspondence to A. Rareş.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Rareş, A., Reinders, M.J.T. & Biemond, J. Constrained Texture Restoration. EURASIP J. Adv. Signal Process. 2005, 924264 (2005). https://doi.org/10.1155/ASP.2005.2758

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  • DOI: https://doi.org/10.1155/ASP.2005.2758

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