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Proceedings Paper

Digital images inpainting using modified convolution based method
Author(s): Mohiy M. Hadhoud; Kamel A. Moustafa; Sameh Z. Shenoda
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Paper Abstract

Reconstruction of missing parts or scratches of digital images is an important field used extensively in artwork restoration. This restoration can be done by using two approaches, image inpainting and texture synthesis. There are many techniques for the two pervious approaches that can carry out the process optimally and accurately. In this paper the advantages and disadvantages of most algorithms of the image inpainting approach are discussed. The modification to Oliveira inpainting model is introduced. This modification produces fast and good quality with one iteration without blur and removes large object with symmetric background.

Paper Details

Date Published: 13 April 2009
PDF: 7 pages
Proc. SPIE 7340, Optical Pattern Recognition XX, 73400S (13 April 2009);
Show Author Affiliations
Mohiy M. Hadhoud, Menofyia Univ. (Egypt)
Kamel A. Moustafa, Menofyia Univ. (Egypt)
Sameh Z. Shenoda, Menofyia Univ. (Egypt)

Published in SPIE Proceedings Vol. 7340:
Optical Pattern Recognition XX
David P. Casasent; Tien-Hsin Chao, Editor(s)

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