Simultaneous Structure and Texture Image Inpainting

DMCA

Simultaneous Structure and Texture Image Inpainting (2003)

Cached

Download Links

Other Repositories/Bibliography

DBLP

by M. Bertalmio , L. Vese , G. Sapiro , S. Osher

Citations:

222 - 13 self

BibTeX

@MISC{Bertalmio03simultaneousstructure,
    author = {M. Bertalmio and L. Vese and G. Sapiro and S. Osher},
    title = {Simultaneous Structure and Texture Image Inpainting},
    year = {2003}
}

OpenURL

Abstract

An algorithm for the simultaneous filling-in of texture and structure in regions of missing image information is presented in this paper. The basic idea is to first decompose the image into the sum of two functions with different basic characteristics, and then reconstruct each one of these functions separately with structure and texture filling-in algorithms. The first function used in the decomposition is of bounded variation, representing the underlying image structure, while the second function captures the texture and possible noise. The region of missing information in the bounded variation image is reconstructed using image inpainting algorithms, while the same region in the texture image is filled-in with texture synthesis techniques. The original image is then reconstructed adding back these two sub-images. The novel contribution of this paper is then in the combination of these three previously developed components, image decomposition with inpainting and texture synthesis, which permits the simultaneous use of filling-in algorithms that are suited for different image characteristics. Examples on real images show the advantages of this proposed approach.

Keyphrases

simultaneous structure texture image inpainting bounded variation real image original image bounded variation image second function filling-in algorithm developed component simultaneous use different image characteristic texture synthesis technique texture filling-in algorithm basic idea novel contribution image information underlying image structure simultaneous filling-in image decomposition possible noise texture image first function different basic characteristic texture synthesis

DMCA