Constrained texture restoration

Authors:
A. Rares;M. J. T. Reinders;J. Biemond
Affiliations:
Info. and Comm. Th. Grp., Mediamatics Dept., Fac. of Elec. Eng., Math. and Comp. Sci., Delft Univ. of Technol., Delft and Div. of Im. Proc., Radiology Dept., Leiden Univ. Med. Ctr., Leiden, The Ne ...;Information and Communication Theory Group, Mediamatics Department, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands;Information and Communication Theory Group, Mediamatics Department, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2005

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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.