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  • Research Article
  • Open Access

Constrained Texture Restoration

EURASIP Journal on Advances in Signal Processing20052005:924264

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

  • Received: 11 December 2004
  • Published:

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.

Keywords

  • image restoration
  • edge structure reconstruction
  • sequentiality
  • nonparametric texture synthesis

Authors’ Affiliations

(1)
Information and Communication Theory Group, Mediamatics Department, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, 2628 CD, The Netherlands
(2)
Division of Image Processing, Radiology Department, Leiden University Medical Center, Leiden, 2333 ZA, The Netherlands

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