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Authors: E. Ardizzone ; H. Dindo and G. Mazzola

Affiliation: Università degli Studi di Palermo, Italy

ISBN: 978-989-8111-21-0

Keyword(s): Digital Restoration, Inpainting, Texture Synthesis, Bit-Plane Slicing.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Enhancement and Restoration ; Image Formation and Preprocessing

Abstract: In this paper we propose a novel approach for the texture analysis-synthesis problem, with the purpose to restore missing zones in greyscale images. Bit-plane decomposition is used, and a dictionary is build with bit-blocks statistics for each plane. Gaps are reconstructed with a conditional stochastic process, to propagate texture global features into the damaged area, using information stored in the dictionary. Our restoration method is simple, easy and fast, with very good results for a large set of textured images. Results are compared with a state-of-the-art restoration algorithm.

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Paper citation in several formats:
Ardizzone E.; Dindo H.; Mazzola G. and (2008). FILLING-IN GAPS IN TEXTURED IMAGES USING BIT-PLANE STATISTICS.In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 122-127. DOI: 10.5220/0001081401220127

@conference{visapp08,
author={E. Ardizzone and H. Dindo and G. Mazzola},
title={FILLING-IN GAPS IN TEXTURED IMAGES USING BIT-PLANE STATISTICS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={122-127},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001081401220127},
isbn={978-989-8111-21-0},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - FILLING-IN GAPS IN TEXTURED IMAGES USING BIT-PLANE STATISTICS
SN - 978-989-8111-21-0
AU - Ardizzone, E.
AU - Dindo, H.
AU - Mazzola, G.
PY - 2008
SP - 122
EP - 127
DO - 10.5220/0001081401220127

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