Oriented texture completion by AM-FM reaction-diffusion

We provide an automated method to repair broken, occluded oriented image textures. Our approach is based on partial differential equations (PDEs) and AM-FM image modeling. Reconstruction of the texture occurs via simultaneous PDE-generated diffusion and reaction. In the diffusion process, the image...

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Bibliographic Details
Published in:IEEE transactions on image processing 2001-06, Vol.10 (6), p.885-896
Main Authors: Acton, S.T., Prasad Mukherjee, D., Havlicek, J.P., Conrad Bovik, A.
Format: Article
Language:English
Subjects:
Algorithms
Anisotropic magnetoresistance
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Diffusion
Diffusion processes
Exact sciences and technology
Fingerprint recognition
Gabor filters
Image contrast
Image processing
Image reconstruction
Image texture
Information, signal and communications theory
Interpolation
Level set
Mathematical models
Partial differential equations
Pattern recognition. Digital image processing. Computational geometry
Repair
Signal processing
Studies
Surface layer
Telecommunications and information theory
Texture
Yield estimation
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Summary:We provide an automated method to repair broken, occluded oriented image textures. Our approach is based on partial differential equations (PDEs) and AM-FM image modeling. Reconstruction of the texture occurs via simultaneous PDE-generated diffusion and reaction. In the diffusion process, the image is adaptively smoothed, preserving important boundaries and features. The reaction process produces the reconstructed textural information in the occluded image regions. Gabor (1946) filters are designed and used in the reaction process using an AM-FM dominant component analysis. An AM-FM model of the texture image is constructed, making it possible to localize the reaction filters spatio-spectrally. In contrast to previous disocclusion techniques that depend on interpolation, on continuity of the connected components within the image level sets, or on texture estimation, the reaction-diffusion process proposed here yields a seamless transition between the recreated region and the unoccluded image regions. Using AM-FM dominant component analysis, we avoid the ad hoc parameter selection typified with other reaction-diffusion approaches. As a useful example, we focus on the repair of broken, occluded fingerprints. We also treat several exemplary natural textures to demonstrate the technique's generality.
ISSN:1057-7149
1941-0042
DOI:10.1109/83.923285