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.

E ARDIZZONE, H DINDO, MAZZOLA G (2008). Filling-in Gaps in Textured Images Using Bit-Plane Statistics. In Proc. of VISAPP '08 (pp.122-127).

Filling-in Gaps in Textured Images Using Bit-Plane Statistics

2008-01-01

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.
Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni
gen-2008
Third International Conference on Computer Vision Theory and Applications, VISAPP 2008
Funchal, Madeira, Portugal
January 22-25 2008
2008
6
- ISSN:
E ARDIZZONE, H DINDO, MAZZOLA G (2008). Filling-in Gaps in Textured Images Using Bit-Plane Statistics. In Proc. of VISAPP '08 (pp.122-127).
Proceedings (atti dei congressi)
E ARDIZZONE; H DINDO; MAZZOLA G
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/34626
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