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Proceedings Paper

Image inpainting using cubic spline-based edge reconstruction
Author(s): V. V. Voronin; V. I. Marchuk; A. I. Sherstobitov; K. O. Egiazarian
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Paper 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.

Paper Details

Date Published: 2 February 2012
PDF: 10 pages
Proc. SPIE 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, 82950I (2 February 2012); doi: 10.1117/12.905791
Show Author Affiliations
V. V. Voronin, South-Russian State Univ. of Economics and Service (Russian Federation)
V. I. Marchuk, South-Russian State Univ. of Economics and Service (Russian Federation)
A. I. Sherstobitov, South-Russian State Univ. of Economics and Service (Russian Federation)
K. O. Egiazarian, Tampere Univ. of Technology (Finland)


Published in SPIE Proceedings Vol. 8295:
Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II
Karen O. Egiazarian; John Recker; Guijin Wang; Sos S. Agaian; Atanas P. Gotchev, Editor(s)

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