PDE-based image restoration using variational denoising and inpainting models

Author

Barbu, Tudor ; Ciobanu, Amelia ; Luca, Mihaela

Author_Institution

Inst. of Comput. Sci., Iasi, Romania

fYear

2014

fDate

17-19 Oct. 2014

Firstpage

688

Lastpage

691

Abstract

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.

Keywords

image denoising; image enhancement; image restoration; variational techniques; PDE variational techniques; PDE-based image restoration model; degraded image enhancement; degraded images restoration; first variational method; image reconstruction; inpainting models; missing zones; noise reduction; noise zones; second variational model; variational denoising; variational models; Computational modeling; Equations; Image reconstruction; Image restoration; Mathematical model; Minimization; Noise reduction; PDE model; image denoising; image restoration; inpainting model; variational approach;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, Control and Computing (ICSTCC), 2014 18th International Conference

Conference_Location

Sinaia

Type

conf

DOI

10.1109/ICSTCC.2014.6982497

Filename

6982497