PDE-based image restoration using variational denoising and inpainting models

A PDE-based image restoration model is proposed in this paper. It aims to restore degraded images that are affected by both noise and missing zones. The considered restoration approach is based on two PDE variational techniques. The first variational method performs an efficient noise reduction, whi...

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Bibliographic Details
Published in2014 18th International Conference on System Theory, Control and Computing (ICSTCC) pp. 688 - 691
Main Authors Barbu, Tudor, Ciobanu, Adrian, Luca, Mihaela
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2014
Subjects
Computational modeling
Equations
image denoising
Image reconstruction
Image restoration
inpainting model
Mathematical model
Minimization
Noise reduction
PDE model
variational approach
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DOI10.1109/ICSTCC.2014.6982497

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Summary:A PDE-based image restoration model is proposed in this paper. It aims to restore degraded images that are affected by both noise and missing zones. The considered restoration approach is based on two PDE variational techniques. The first variational method performs an efficient noise reduction, while the second variational model provides the image reconstruction. By using both variational models, one achieves a much better enhancement of the degraded image.
DOI:10.1109/ICSTCC.2014.6982497