Authors:
E. Ardizzone
;
H. Dindo
and
G. Mazzola
Affiliation:
Università degli Studi di Palermo, Italy
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.