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Conference Paper

Image Restoration using Multiresolution Texture Synthesis and Image Inpainting

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Yamauchi,  Hitoshi
Computer Graphics, MPI for Informatics, Max Planck Society;

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Haber,  Jörg
Computer Graphics, MPI for Informatics, Max Planck Society;

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Seidel,  Hans-Peter       
Computer Graphics, MPI for Informatics, Max Planck Society;

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Citation

Yamauchi, H., Haber, J., & Seidel, H.-P. (2003). Image Restoration using Multiresolution Texture Synthesis and Image Inpainting. In Proceedings of the Computer Graphics International (pp. 120-125). Los Alamitos, USA: IEEE Computer Society.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-2D30-B
Abstract
We present a new method for the restoration of digitized photographs.
Restoration in this context refers to removal of image defects such as
scratches and blotches as well as to removal of disturbing objects as, for
instance, subtitles, logos, wires, and microphones.

Our method combines techniques from texture synthesis and image
inpainting, bridging the gap between these two approaches that have
recently attracted strong research interest. Combining image inpainting
and texture synthesis in a multiresolution approach gives us the best of
both worlds and enables us to overcome the limitations of each of those
individual approaches.

The restored images obtained with our method look plausible in general and
surprisingly good in some cases. This is demonstrated for a variety of
input images that exhibit different kinds of defects.