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

Ardizzone E; Dindo H; Mazzola G

    Research output: Contribution to conferencePaper

    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.
    Original languageEnglish
    Publication statusPublished - 2008

    All Science Journal Classification (ASJC) codes

    • Computer Science Applications
    • Computer Vision and Pattern Recognition

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