Image inpainting using cubic spline-based edge reconstruction

V. V. Voronin; V. I. Marchuk; A. I. Sherstobitov; K. O. Egiazarian

doi:10.1117/12.905791

2 February 2012 Image inpainting using cubic spline-based edge reconstruction

V. V. Voronin, V. I. Marchuk, A. I. Sherstobitov, K. O. Egiazarian

Proceedings Volume 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II; 82950I (2012) https://doi.org/10.1117/12.905791
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

In this paper an image inpainting approach based on the construction of a composite curve for the restoration of the edges of objects in an image using the concepts of parametric and geometric continuity is presented. It is shown that this approach allows to restore the curved edges in damaged image by interpolating the boundaries of objects by cubic splines. A tensor analysis is used for classification of texture and non texture regions. After edge restoration stage, a texture restoration based on exemplar based method is carried out. It finds the best matching patch from another source region and copies it into the damaged region. For non texture regions a Telea method is applied.

Citation Download Citation

V. V. Voronin, V. I. Marchuk, A. I. Sherstobitov, and K. O. Egiazarian "Image inpainting using cubic spline-based edge reconstruction", Proc. SPIE 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, 82950I (2 February 2012); https://doi.org/10.1117/12.905791

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